Telehealth, Wearable Sensors, and the Internet: Will They Improve Stroke Outcomes Through Increased Intensity of Therapy, Motivation, and Adherence to Rehabilitation Programs?

Technology Use for Home-Based Stroke Rehabilitation in Switzerland From the Perspectives of Persons Living With Stroke, Informal Caregivers, and Therapists: Qualitative Interview and Focus Group Study

BACKGROUND

Stroke is a leading cause for long-term disability, requiring both inpatient and outpatient rehabilitation and self-training in the home environment. Technology-based tools are gradually gaining acceptance as additional and suitable options for extending the rehabilitation process. While the experiences of persons living with stroke, therapists, and informal caregivers with respect to technology use have already been investigated in other countries, this topic is underexplored in the Swiss context.

OBJECTIVE

We aimed to explore the experiences and needs of persons living with stroke, informal caregivers, and therapists in using technology-based tools in a home environment for stroke rehabilitation in Switzerland.

METHODS

This study followed a qualitative descriptive methodology, including semistructured interviews and focus group discussions. We applied a deductive template analysis alongside the accessibility, adaptability, accountability, and engagement framework to analyze the qualitative data sets for technology-assisted solutions for poststroke rehabilitation.

RESULTS

We collected the experiences and needs of persons living with stroke (7/23, 30%), informal caregivers (4/23, 17%), and therapists (occupational and physical therapists; 12/23, 52%). The 4 categories we used to organize the analysis and results were accessibility to quality rehabilitation, adaptability to patient differences, accountability or compliance with rehabilitation, and engagement with rehabilitation. Persons living with stroke stated that they use various tools within their rehabilitation process depending on their specific needs. They felt that there is a plethora of tools available but sometimes felt overwhelmed with the selection process. Informal caregivers indicated that they generally felt underserved and insufficiently informed throughout the rehabilitation process. They reported that they use technology-based tools to support their relatives affected by stroke in becoming more independent. Therapists appreciate the numerous possible applications of technology-based tools in rehabilitation. At the same time, however, they express dissatisfaction with the lack of clarity in Switzerland regarding cost coverage, recommendations, and training opportunities.

CONCLUSIONS

Persons living with stroke, informal caregivers, and therapists in Switzerland reported varied and unique experiences and needs with the use of technology-based tools in outpatient stroke rehabilitation. Written recommendations, the assumption of financial costs, and the provision of information and education could foster increased confidence in the use of technology-based tools for patients and therapists.

Self-Reported Home Program Adherence by People With Aphasia: Exploring Construct Validity

PURPOSE

The study purpose was to compare the practice patterns captured by self-reported logbook data and those recorded by a computerized home program application. The current study is part of a larger single-case research design study aimed at investigating the effect of logbook use on home program adherence in people with aphasia poststroke.

METHOD

Data from six adults with chronic aphasia with interest in improving their reading were used in this secondary analysis. Participants completed reading comprehension therapy tasks using a mobile application and tablet. The activities were self-directed and designed for people with aphasia to complete independently. We created an aphasia-friendly logbook based on best practices to allow participants to record their estimated total minutes practiced. Participants received instructions to practice the reading therapy application 80 min a day 7 days a week for the duration of the study. We calculated the difference in the total time per day recorded by each participant to the application data collected.

RESULTS

All participants used the logbook to record their practice. There was a strong relationship between self-reported logbook practice and application-recorded practice for four of the six participants. Individual differences were noted and explored.

CONCLUSION

These results suggest that some people with aphasia can use logbooks with aphasia-friendly modifications to accurately estimate the amount of practice completed outside of therapy sessions.

The relationship between rehabilitation motivation and upper limb motor function in stroke patients

Objective

Insufficient motivation among post-stroke survivors may be an important factor affecting their motor function recovery. This study seeks to investigate the relationship between motivation and functional recovery in stroke patients undergoing rehabilitation training.

Materials and methods

103 stroke patients with upper limb impairments were studied during their hospital stays. Assessments were done before and after rehabilitation training to measure motivation, emotional state, motor function, and independence in daily activities. Data analysis was conducted to examine the distribution of these factors among the participants. Pearson and Spearman correlation analyses were used to study the relationships between motivation, emotional state, and motor function. Patients were divided into high and low motivation groups based on the Rehabilitation Motivation Scale (RMS), and chi-square and rank-sum tests were used to compare functional differences before and after treatment among patients with varying levels of motivation.

Results

66 participants were found to have low motivation in the initial assessment of the RMS (64.08%). Consistency in motivation levels was observed among patients with high motivation (r = 0.648, P<0.001). Apathy was identified as the main factor affecting motivation in patients with low motivation (p = 0.027), while depression and anxiety were not significantly correlated. Motivation was strongly linked to improvements in upper limb motor function, daily living activities, and self-exercise duration (p < 0.001) for stroke patients undergoing rehabilitation. Post-training, there was a notable increase in motivation, motor function, and independence in daily activities (p < 0.001). Increased rehabilitation motivation was linked to better upper limb motor function and daily independence in patients, particularly those with low motivation. This correlation was significant for both the FMA-UE and FIM scores.

Discussion

Old patients with poor upper limb motor function often have low motivation, which hinders their recovery. Using strategies to boost motivation in stroke patients with impaired upper limb function could greatly improve their rehabilitation and motor skills. It is crucial to prioritize these intervention strategies.

Conclusion

Enhancing rehabilitation motivation in stroke patients with low motivation and upper limb motor impairments can foster the restoration of their functional capabilities.

Utility and usability of a wearable system and progressive-challenge cued exercise program for encouraging use of the more involved arm at-home after stroke-a feasibility study with case reports

BACKGROUND

Understanding the role of adherence to home exercise programs for survivors of stroke is critical to ensure patients perform prescribed exercises and maximize effectiveness of recovery.

METHODS

Survivors of hemiparetic stroke with impaired motor function were recruited into a 7-day study designed to test the utility and usability of a low-cost wearable system and progressive-challenge cued exercise program for encouraging graded-challenge exercise at-home. The wearable system comprised two wrist-worn MetaMotionR+ activity monitors and a custom smartphone app. The progressive-challenge cued exercise program included high-intensity activities (one repetition every 30 s) dosed at 1.5 h per day, embedded within 8 h of passive activity monitoring per day. Utility was assessed using measures of system uptime and cue response rate. Usability and user experience were assessed using well-validated quantitative surveys of system usability and user experience. Self-efficacy was assessed at the end of each day on a visual analog scale that ranged from 0 to 100.

RESULTS

The system and exercise program had objective utility: system uptime was 92 ± 6.9% of intended hours and the rate of successful cue delivery was 99 ± 2.7%. The system and program also were effective in motivating cued exercise: activity was detected within 5-s of the cue 98 ± 3.1% of the time. As shown via two case studies, accelerometry data can accurately reflect graded-challenge exercise instructions and reveal differentiable activity levels across exercise stages. User experience surveys indicated positive overall usability in the home settings, strong levels of personal motivation to use the system, and high degrees of satisfaction with the devices and provided training. Self-efficacy assessments indicated a strong perception of proficiency across participants (95 ± 5.0).

CONCLUSIONS

This study demonstrates that a low-cost wearable system providing frequent haptic cues to encourage graded-challenge exercise after stroke can have utility and can provide an overall positive user experience in home settings. The study also demonstrates how combining a graded exercise program with all-day activity monitoring can provide insight into the potential for wearable systems to assess adherence to-and effectiveness of-home-based exercise programs on an individualized basis.

Behavior Change Approaches in Digital Technology-Based Physical Rehabilitation Interventions Following Stroke: Scoping Review

BACKGROUND

Digital health technologies (DHTs) are increasingly used in physical stroke rehabilitation to support individuals in successfully engaging with the frequent, intensive, and lengthy activities required to optimize recovery. Despite this, little is known about behavior change within these interventions.

OBJECTIVE

This scoping review aimed to identify if and how behavior change approaches (ie, theories, models, frameworks, and techniques to influence behavior) are incorporated within physical stroke rehabilitation interventions that include a DHT.

METHODS

Databases (Embase, MEDLINE, PsycINFO, CINAHL, Cochrane Library, and AMED) were searched using keywords relating to behavior change, DHT, physical rehabilitation, and stroke. The results were independently screened by 2 reviewers. Sources were included if they reported a completed primary research study in which a behavior change approach could be identified within a physical stroke rehabilitation intervention that included a DHT. Data, including the study design, DHT used, and behavior change approaches, were charted. Specific behavior change techniques were coded to the behavior change technique taxonomy version 1 (BCTTv1).

RESULTS

From a total of 1973 identified sources, 103 (5%) studies were included for data charting. The most common reason for exclusion at full-text screening was the absence of an explicit approach to behavior change (165/245, 67%). Almost half (45/103, 44%) of the included studies were described as pilot or feasibility studies. Virtual reality was the most frequently identified DHT type (58/103, 56%), and almost two-thirds (65/103, 63%) of studies focused on upper limb rehabilitation. Only a limited number of studies (18/103, 17%) included a theory, model, or framework for behavior change. The most frequently used BCTTv1 clusters were feedback and monitoring (88/103, 85%), reward and threat (56/103, 54%), goals and planning (33/103, 32%), and shaping knowledge (33/103, 32%). Relationships between feedback and monitoring and reward and threat were identified using a relationship map, with prominent use of both of these clusters in interventions that included virtual reality.

CONCLUSIONS

Despite an assumption that DHTs can promote engagement in rehabilitation, this scoping review demonstrates that very few studies of physical stroke rehabilitation that include a DHT overtly used any form of behavior change approach. From those studies that did consider behavior change, most did not report a robust underpinning theory. Future development and research need to explicitly articulate how including DHTs within an intervention may support the behavior change required for optimal engagement in physical rehabilitation following stroke, as well as establish their effectiveness. This understanding is likely to support the realization of the transformative potential of DHTs in stroke rehabilitation.

Effect of internet-based pulmonary rehabilitation on physical capacity and health-related life quality in patients with chronic obstructive pulmonary disease-a systematic review and meta-analysis

PURPOSE

Pulmonary rehabilitation (PR) is now recognized as the most effective treatments for individuals with chronic obstructive pulmonary disease (COPD), internet-based PR arises a promising method. The aim of this study was to conduct a systematic review and meta-analysis for assessing the effect of internet-based PR programs on physical capacity and health-related quality of life in patients with COPD.

MATERIALS AND METHODS

Randomized controlled trials were identified through systematically searches in PubMed, EMBASE, web of science, CENTRAL, Cochrane Library, and Google Scholar databases.

RESULTS

Twelve studies (1433 patients) were included. For physical capacity, there was no significant difference between groups was found according to the 6-min walk test (6MWT) (MD10.42, 95% CI -2.92 to 23.77, p = 0.13, I2 = 0%). For the health-related quality of life, no significant difference between groups was found regarding the St George's Respiratory Questionnaire (SGRQ) (MD -0.64, 95% CI -3.52 to 2.23, p = 0.66), COPD assessment test (CAT)(MD -0.34, 95% CI -1.62 to 0.94, p = 0.60), modified Medical Research Council scale (mMRC)(MD 0.17, 95% CI -0.06 to 0.39, p = 0.15) and Chronic Respiratory Questionnaire (CRQ)(MD 1.32 95% CI -5.88 to 8.53, p = 0.72).

CONCLUSIONS

This study has established the potential for delivery of PR via the internet in demonstrating non-inferiority of physical capacity and health-related quality of life (HRQoL) compared with conventional PR.IMPLICATIONS FOR REHABILITATIONLong-term rehabilitation training for patients with chronic obstructive pulmonary disease needs a more convenient and feasible way.In this study, internet-based rehabilitation showed similar effects as conventional rehabilitation on physical activity and health-related quality of life.Internet-based rehabilitation strategies would be helpful for this population.All internet-based rehabilitation strategies should be simple and sustainable.

Post-Stroke Brain Health Monitoring and Optimization: A Narrative Review

Significant advancements have been made in recent years in the acute treatment and secondary prevention of stroke. However, a large proportion of stroke survivors will go on to have enduring physical, cognitive, and psychological disabilities from suboptimal post-stroke brain health. Impaired brain health following stroke thus warrants increased attention from clinicians and researchers alike. In this narrative review based on an open timeframe search of the PubMed, Scopus, and Web of Science databases, we define post-stroke brain health and appraise the body of research focused on modifiable vascular, lifestyle, and psychosocial factors for optimizing post-stroke brain health. In addition, we make clinical recommendations for the monitoring and management of post-stroke brain health at major post-stroke transition points centered on four key intertwined domains: cognition, psychosocial health, physical functioning, and global vascular health. Finally, we discuss potential future work in the field of post-stroke brain health, including the use of remote monitoring and interventions, neuromodulation, multi-morbidity interventions, enriched environments, and the need to address inequities in post-stroke brain health. As post-stroke brain health is a relatively new, rapidly evolving, and broad clinical and research field, this narrative review aims to identify and summarize the evidence base to help clinicians and researchers tailor their own approach to integrating post-stroke brain health into their practices.

A scoping review of the feasibility, acceptability, and effects of physiotherapy delivered remotely

PURPOSE

To review the feasibility, acceptability, and effects of physiotherapy when delivered remotely.

MATERIALS AND METHODS

CINAHL, MEDLINE, EBM Reviews, and Cochrane Library databases (January 2015-February 2022) were searched and screened for papers (of any design) investigating remote physiotherapy. Data were extracted by two independent raters. Methodological quality of the identified papers was not assessed. Thematic content analysis drew out the key issues.

RESULTS

Forty-one papers (including nine systemic reviews and six with meta-analyses) were selected involving musculoskeletal, stroke and neurological, pulmonary, and cardiac conditions. The most commonly delivered intervention was remote exercise provision, usually following assessment which was completed in-person. All studies, which assessed it, found that remote physiotherapy was comparably effective to in-person delivery at lower cost. Patient satisfaction was high, they found remote physiotherapy to be more accessible and convenient. It boosted confidence and motivation by reminding patients when and how to exercise but adherence was mixed. No adverse events were reported. Barriers related to access to the technology; technical problems and concerns about therapists' workload.

CONCLUSIONS

Remote physiotherapy is safe, feasible, and acceptable to patients. Its effects are comparable with traditional care at lower cost.IMPLICATIONS FOR REHABILITATIONRemote physiotherapy is safe, feasible, and acceptable to patients with comparable effects to in-person care.Remote delivery increases access to physiotherapy especially for those who cannot travel to a treatment facility whether due to distance or disability.Remote physiotherapy may increase adherence to exercise by reminding patients when and how to exercise.Remote physiotherapy does not suit everyone, thus a hybrid system with both in-person and remote delivery may be most effective.

Evaluating the Dissemination and Implementation Impact of a Rehabilitation Intervention: The Graded Repetitive Arm Supplementary Program (GRASP)

Purpose

To evaluate the dissemination and implementation impacts of a rehabilitation intervention.

Methods

Systematic evaluation of data sources including academic publishing metrics, publications, and surveys was used to describe the dissemination and implementation impact of the graded repetitive arm supplementary program (GRASP). Three categories in the Payback Framework were evaluated: knowledge production and dissemination, benefits to future research and research use, and real-world uptake and implementation.

Results

In the Knowledge production and dissemination category, seven publications, authored by the GRASP research team, were associated with the GRASP, and there were approximately 17,000 download counts of GRASP manuals from the website from 120 countries. In the Benefits to future research and research use category, 15 studies and 8 registered clinical trials, authored by researchers outside of the GRASP team, have used GRASP as an intervention. In the real-world uptake and implementation category, GRASP has informed recommendations in 2 clinical guidelines and 20 review papers, and had high implementation uptake (e.g., 35% [53/154] of UK therapists surveyed had used GRASP; 95% [649/681] who downloaded GRASP had used it). More than 75% of those who had used GRASP identified that GRASP provides more intensity in upper extremity rehabilitation, is evidence-based and easy to implement, and the equipment and manual are easy to obtain.

Conclusion

The Payback Framework is useful to evaluate the dissemination and implementation impacts of a rehabilitation intervention. GRASP has been implemented extensively in clinical practice and community in a relatively short time since it has been developed.

Basic psychological needs satisfaction of stroke patients: a qualitative study

BACKGROUND

Previous studies have shown that the satisfaction of basic psychological needs is related to psychological well-being. Improving satisfaction will increase personal well-being, promote positive health outcomes, and improve disease recovery. However, no research has focused on the basic psychological needs of stroke patients. Therefore, this study aims to determine the basic psychological needs experience, satisfaction, and its influencing factors of stroke patients.

METHODS

12 males and 6 females in the non-acute phase with stroke were recruited in the Department of Neurology, Nanfang Hospital. The individual, semi-structured interviews were conducted in a separate room. The data were imported to Nvivo 12 and analyzed using the directed content analysis approach.

RESULTS

Three main themes consisting of 9 sub-themes were derived from the analysis. These three main themes focused on the needs for autonomy, competence, and relatedness of stroke patients.

CONCLUSION

Participants have different degrees of satisfaction of their basic psychological needs, which may be related to their family environment, work environment, stroke symptoms, or other factors. Stroke symptoms can significantly reduce the patients' needs for autonomy and competence. However, the stroke seems to increase the patients' satisfaction of the need for relatedness.

Measurement, determinants, barriers, and interventions for exercise adherence: A scoping review

BACKGROUND

Adherence to exercise interventions is the cornerstone of a successful rehabilitation program. However, there is limited evidence on multifaceted components of exercise adherence. Therefore, we aimed to summarize the existing literature on measurement, determinants, barriers, theoretical frameworks, and evidence-based interventions that support exercise adherence.

METHODS

We conducted a scoping review based on the PRISMA extension for scoping reviews guidelines and searched the literature in PubMed, Cochrane Databases of Systematic Reviews, ScienceDirect, and Web of Science. Two reviewers independently screened articles. The included articles were subjected to data extraction and qualitative synthesis.

RESULTS

A total of 72 articles were included for this review. Data synthesis showed that there are no gold standard methods of measuring exercise adherence; however, questionnaires and daily logs are commonly used tools. The determinants of adherence are personal, disease-related, therapy-related, provider-related, and health system-related. The common barriers to adherence are the absence of a caregiver, low health literacy, poor communication by healthcare providers, cost, and lack of access to health facilities. Few evidence-based interventions used for supporting adherence are behavioral strategies, improving self-efficacy, motivational therapy, and mHealth or multimedia.

CONCLUSION

Non-adherence to exercises is a challenge for healthcare providers. There are no standard guidelines for the evaluation and management of non-adherence to exercises. Future studies should aim at developing objective measures of exercise adherence and investigate the long-term effects of adherence strategies in different disease populations. It is an under-researched area and requires multipronged strategies to improve adherence levels among patients.

Effects of Internet of Things-based power cycling and neuromuscular training on pain and walking ability in elderly patients with KOA: protocol for a randomized controlled trial

BACKGROUND

Osteoarthritis (OA) is a common and highly disabling disease that imposes a heavy burden on individuals and society. Although physical therapy is recommended as an important method to relieve OA symptoms, patients cannot continue treatment after returning home. Research on Internet telerehabilitation for knee osteoarthritis (KOA) can reduce pain and improve patient quality of life, and Internet of Things (IoT)-based telerehabilitation is a new form of delivering rehabilitation. This study will evaluate the effect of telerehabilitation via IoT, as a medium to deliver exercises, on pain and walking in patients with KOA.

METHODS

This study is a single-blind randomized controlled trial. We will recruit 42 middle-aged and elderly patients with KOA aged ≥ 50 years and randomly divided into power cycling group, neuromuscular exercise group, and control group, and intervention will last for 12 weeks. Outcome measures will be taken at baseline and 4 weeks, 8 weeks, and 12 weeks post-intervention. The pre- and posttreatment differences in knee pain and physical function between participants undergoing power cycling and neuromuscular training and those in the control group will be determined by each scale. The effectiveness will be assessed by the Western Ontario and McMaster Universities Osteoarthritis Index Score (WOMAC) and an 11-point numerical pain rating scale. Walking function and quality of life will be assessed by the timed up and go and walk test, 6-min walk test, and quality of life health status questionnaires.

DISCUSSION

The findings from this trial will establish the feasibility and effectiveness of IoT-based power cycling and neuromuscular training on elderly patients with KOA in the community. As a result, this trial may help provide experimental evidence for finding a better exercise method suitable for elderly patients with KOA in the community.

TRAIL REGISTRATION

Chinese Clinical Trials Registry ChiCTR2200058924. Prospectively registered on 6 May 2022.

Health-Related Indicators Measured Using Earable Devices: Systematic Review

BACKGROUND

Earable devices are novel, wearable Internet of Things devices that are user-friendly and have potential applications in mobile health care. The position of the ear is advantageous for assessing vital status and detecting diseases through reliable and comfortable sensing devices.

OBJECTIVE

Our study aimed to review the utility of health-related indicators derived from earable devices and propose an improved definition of disease prevention. We also proposed future directions for research on the health care applications of earable devices.

METHODS

A systematic review was conducted of the PubMed, Embase, and Web of Science databases. Keywords were used to identify studies on earable devices published between 2015 and 2020. The earable devices were described in terms of target health outcomes, biomarkers, sensor types and positions, and their utility for disease prevention.

RESULTS

A total of 51 articles met the inclusion criteria and were reviewed, and the frequency of 5 health-related characteristics of earable devices was described. The most frequent target health outcomes were diet-related outcomes (9/51, 18%), brain status (7/51, 14%), and cardiovascular disease (CVD) and central nervous system disease (5/51, 10% each). The most frequent biomarkers were electroencephalography (11/51, 22%), body movements (6/51, 12%), and body temperature (5/51, 10%). As for sensor types and sensor positions, electrical sensors (19/51, 37%) and the ear canal (26/51, 51%) were the most common, respectively. Moreover, the most frequent prevention stages were secondary prevention (35/51, 69%), primary prevention (12/51, 24%), and tertiary prevention (4/51, 8%). Combinations of ≥2 target health outcomes were the most frequent in secondary prevention (8/35, 23%) followed by brain status and CVD (5/35, 14% each) and by central nervous system disease and head injury (4/35, 11% each).

CONCLUSIONS

Earable devices can provide biomarkers for various health outcomes. Brain status, healthy diet status, and CVDs were the most frequently targeted outcomes among the studies. Earable devices were mostly used for secondary prevention via monitoring of health or disease status. The potential utility of earable devices for primary and tertiary prevention needs to be investigated further. Earable devices connected to smartphones or tablets through cloud servers will guarantee user access to personal health information and facilitate comfortable wearing.

What is the feasibility and patient acceptability of a digital system for arm and hand rehabilitation after stroke? A mixed-methods, single-arm feasibility study of the 'OnTrack' intervention for hospital and home use

OBJECTIVES

Arm weakness is common after stroke; repetitive activity is critical for recovery but people struggle with knowing what to do, volume, and monitoring progress. We studied the feasibility and acceptability of OnTrack, a digital intervention supporting arm and hand rehabilitation in acute and home settings.

DESIGN

A mixed-method, single-arm study evaluating the feasibility of OnTrack for hospital and home use. An independent process evaluation assessed the intervention's fidelity, dose and reach. Amendments to the protocol were necessary after COVID-19.

SETTING

Acute stroke services and home settings in North West London.

PARTICIPANTS

12 adults with a stroke diagnosis <6 months previously (first or recurrent) requiring arm rehabilitation in hospital and/or home.

INTERVENTION

12 weeks using the OnTrack system comprising arm tracking and coaching support for self-management.

PRIMARY AND SECONDARY OUTCOME MEASURES

Recruitment, retention and completion rates; compliance and adherence to the intervention; reasons for study decline/withdrawal.Intervention fidelity and acceptability, evaluated through an independent process evaluation.Patient measures including activity baseline, healthcare activation, arm function and impairment collected at baseline, week 7 and week 14 of participation to assess suitability for a randomised controlled trial (RCT).

RESULTS

181 individuals screened, 37 met eligibility criteria, 24 recruited (65%); of these, 15 (63%) were recruited before COVID-19, and 9 (37%) during. 12 completed the intervention (50%). Despite COVID-19 disruptions, recruitment, retention and completion were in line with prestudy expectations and acceptable for a definitive trial. Participants felt the study requirements were acceptable and the intervention usable. Fidelity of delivery was acceptable according to predetermined fidelity markers. Outcome measures collected helped determine sample size estimates and primary outcomes for an RCT.

CONCLUSIONS

The intervention was found to be usable and acceptable by participants; study feasibility objectives were met and demonstrated that a definitive RCT would be viable and acceptable.

TRIAL REGISTRATION NUMBER

NCT03944486.

Effects of internet-based interventions on improvement of glycemic control and self-management in older adults with diabetes: Systematic review and meta-analysis

PURPOSE

To assess and summarize the effects of internet-based interventions on diabetes control and self-management of older adults with diabetes.

METHODS

PubMed, Web of Science and three Chinese databases were searched to identified articles published in until December 2021. Clinical trials if they covered the effects of internet-based interventions on diabetes control and self-management of older adults with diabetes were included. All data analysis were performed by Review Manager 5.3.

RESULTS

Sixteen studies with a total of 5604 participants met the inclusion criteria. Our primary outcomes included HbA1c control and self-management. (1) HbA1c control: results indicated statistically difference and high heterogeneity [Q = 112.9, df = 8, p < 0.001, I² = 93%], in the subgroup analysis of studies in China, results showed a significant influence of internet-based interventions on HbA1c control [Q = 21.31, df = 5, p = 0.03, I² = 77%]; (2) self-management: in the subgroup analysis of study duration ≤ 6 months [Q = 84.62, df = 2, p < 0.001, I² = 98%].

CONCLUSION

Internet-based interventions are promising on diabetes control and self-management of older adults with diabetes, but still preliminary due to the heterogeneity of intervention components and the limited number of higher methodological quality trials.

AVAILABILITY OF DATA AND MATERIAL

Applicable.

A Systematic Review of Adherence Strategies for Adult Populations in Speech-Language Pathology Treatment

PURPOSE

Speech-language pathologists (SLPs) often advise adult patients to complete at-home programs in order to improve outcomes. Despite this widespread practice, relatively little is known about treatment adherence. The purposes of this systematic review were to identify adherence strategies and adherence tracking methods used by adult populations that are commonly treated by SLPs (i.e., dysphagia, aphasia, traumatic brain injury, dysphonia, dysarthria), and to identify the efficacy of these strategies.

METHOD

The systematic review was conducted in accordance with A Measurement Tool to Assess Systematic Reviews guidelines. A comprehensive literature search was performed in three databases (CINAHL, PubMed, and Web of Science).

RESULTS

Of the 679 articles found, 18 were selected for analysis. Two thirds of the included articles received the second highest rating on the 5-point JAMA Quality Rating Scheme. Interventions designed to alter treatment adherence included (most to least frequent) computer programs, portable devices/phone apps, alarm reminders, instructional DVDs, check-ins from a clinician/volunteer, and wearable device. Adherence reporting methods included (most to least frequent) self-report diaries, computer program/app-aided collection, wearable device, and clinician/volunteer observation. Of the articles that reported practice frequency, 58% found that adherence strategies improved practice frequency as compared to control. Of the articles that reported treatment outcomes, 66% found that adherence strategies were associated with improved treatment outcomes as compared to control.

CONCLUSIONS

The paucity of publications reviewed suggests that treatment adherence is considerably understudied in speech-language pathology. A clearer understanding of how to improve the design of adherence strategies could yield highly valuable clinical outcomes.

SUPPLEMENTAL MATERIAL

https://doi.org/10.23641/asha.19393793.

Task selection for a sensor-based, wearable, upper limb training device for stroke survivors: a multi-stage approach

PURPOSE

Post-stroke survivors report that feedback helps to increase training motivation. A wearable system (M-MARK), comprising movement and muscle sensors and providing feedback when performing everyday tasks was developed. The objective reported here was to create an evidence-based set of upper-limb tasks for use with the system.

MATERIALS AND METHODS

Data from two focus groups with rehabilitation professionals, ten interviews with stroke survivors and a review of assessment tests were synthesized. In a two-stage process, suggested tasks were screened to exclude non-tasks and complex activities. Remaining tasks were screened for suitability and entered into a categorization matrix.

RESULTS

Of 83 suggestions, eight non-tasks, and 42 complex activities were rejected. Of the remaining 33 tasks, 15 were rejected: five required fine motor control; eight were too complex to standardize; one because the role of hemiplegic hand was not defined and one involved water. The review of clinical assessment tests found no additional tasks. Eleven were ultimately selected for testing with M-Mark.

CONCLUSIONS

Using a task categorization matrix, a set of training tasks was systematically identified. There was strong agreement between data from the professionals, survivors and literature. The matrix populated by tasks has potential for wider use in upper-limb stroke rehabilitation. IMPLICATIONS FOR REHABILITATIONRehabilitation technologies that provide feedback on quantity and quality of movements can support independent home-based upper limb rehabilitation.Rehabilitation technology systems require a library of upper limb tasks at different levels for people with stroke and therapists to choose from.A user-defined and evidence-based set of upper limb tasks for use within a wearable sensor device system have been developed.

Determining the Optimal Virtual Reality Exergame Approach for Balance Therapy in Persons With Neurological Disorders Using a Rasch Analysis: Longitudinal Observational Study

Background

Virtual reality (VR) exergames have gained popularity in the rehabilitation of persons with neurological disorders as an add-on therapy to increase intensity of training. Intensity is strongly dependent on the motivation of the patient. Motivation can be increased by delivering variation within training and challenging exercises. However, patients are often underchallenged, as exergame difficulty often does not match the patient’s ability. A Rasch analysis can establish hierarchy of exergame items in order to assist the delivery of patient-centered therapy.

Objective

The aim of this study was to apply the Rasch model to create a hierarchical order of existing VR balance exergames and to relate these exergames to the abilities of persons with neurological disorders, in order to deliver challenge and variation.

Methods

A total of 30 persons with stroke and 51 persons with multiple sclerosis (MS) were included in the study. All participants performed a training program, lasting 3 weeks for persons with MS and 4 weeks for persons with stroke, in which they performed VR balance exergames with a movement recognition–based system (MindMotion GO; MindMaze SA). VR exercise scores, Berg Balance Scale scores, and clinical descriptive data were collected. Berg Balance Scale and device scores were analyzed with the Rasch model using a repeated-measures approach to examine whether the distribution of exercise scores fitted the Rasch model. Secondly, a person-item map was created to show the hierarchy of exercise difficulty and person ability.

Results

Participants completed a selection of 56 balance exercises (ie, items), which consisted of a combination of various balance tasks and levels (ie, exercises). Using repeated measures, this resulted in a count of 785 observations. Analysis showed strong evidence for unidimensionality of the data. A total of 47 exercises (ie, items) had a sufficiently good fit to the Rasch model. Six items showed underfit, with outfit mean square values above 1.5. One item showed underfit but was kept in the analysis. Three items had negative point-biserial correlations. The final model consisted of 47 exercises, which were provided for persons with low to moderate balance ability.

Conclusions

The VR exercises sufficiently fitted the Rasch model and resulted in a hierarchical order of VR balance exercises for persons with stroke and MS with low to moderate balance ability. In combination with the Berg Balance Scale, the results can guide clinical decision-making in the selection of patient-focused VR balance exercises.

Trial Registration

ClinicalTrials.gov NCT03993275; https://clinicaltrials.gov/ct2/show/NCT03993275

Comparing Neuroplasticity Changes Between High and Low Frequency Gait Training in Subacute Stroke: Protocol for a Randomized, Single-Blinded, Controlled Study

Background

Walking recovery post stroke can be slow and incomplete. Determining effective stroke rehabilitation frequency requires the assessment of neuroplasticity changes. Neurobiological signals from electroencephalogram (EEG) can measure neuroplasticity through incremental changes of these signals after rehabilitation. However, changes seen with a different frequency of rehabilitation require further investigation. It is hypothesized that the association between the incremental changes from EEG signals and the improved functional outcome measure scores are greater in higher rehabilitation frequency, implying enhanced neuroplasticity changes.

Objective

The purpose of this study is to identify the changes in the neurobiological signals from EEG, to associate these with functional outcome measures scores, and to compare their associations in different therapy frequency for gait rehabilitation among subacute stroke individuals.

Methods

A randomized, single-blinded, controlled study among patients with subacute stroke will be conducted with two groups: an intervention group (IG) and a control group (CG). Each participant in the IG and CG will receive therapy sessions three times a week (high frequency) and once a week (low frequency), respectively, for a total of 12 consecutive weeks. Each session will last for an hour with strengthening, balance, and gait training. The main variables to be assessed are the 6-Minute Walk Test (6MWT), Motor Assessment Scale (MAS), Berg Balance Scale (BBS), Modified Barthel Index (MBI), and quantitative EEG indices in the form of delta to alpha ratio (DAR) and delta-plus-theta to alpha-plus-beta ratio (DTABR). These will be measured at preintervention (R0) and postintervention (R1). Key analyses are to determine the changes in the 6MWT, MAS, BBS, MBI, DAR, and DTABR at R0 and R1 for the CG and IG. The changes in the DAR and DTABR will be analyzed for association with the changes in the 6MWT, MAS, BBS, and MBI to measure neuroplasticity changes for both the CG and IG.

Results

We have recruited 18 participants so far. We expect to publish our results in early 2023.

Conclusions

These associations are expected to be positive in both groups, with a higher correlation in the IG compared to the CG, reflecting enhanced neuroplasticity changes and objective evaluation on the dose-response relationship.

International Registered Report Identifier (IRRID)

DERR1-10.2196/27935

Web Portals for Patients With Chronic Diseases: Scoping Review of the Functional Features and Theoretical Frameworks of Telerehabilitation Platforms

Background

The COVID-19 pandemic has required an increased need for rehabilitation activities applicable to patients with chronic diseases. Telerehabilitation has several advantages, including reducing clinic visits by patients vulnerable to infectious diseases. Digital platforms are often used to assist rehabilitation services for patients in remote settings. Although web portals for medical use have existed for years, the technology in telerehabilitation remains a novel method.

Objective

This scoping review investigated the functional features and theoretical approaches of web portals developed for telerehabilitation in patients with chronic diseases.

Methods

PubMed and Web of Science were reviewed to identify articles associated with telerehabilitation. Of the 477 nonduplicate articles reviewed, 35 involving 14 portals were retrieved for the scoping review. The functional features, targeted diseases, and theoretical approaches of these portals were studied.

Results

The 14 portals targeted patients with chronic obstructive pulmonary disease, cardiovascular, osteoarthritis, multiple sclerosis, cystic fibrosis diseases, and stroke and breast cancer survivors. Monitoring/data tracking and communication functions were the most common, followed by exercise instructions and diary/self-report features. Several theoretical approaches, behavior change techniques, and motivational techniques were found to be utilized.

Conclusions

The web portals could unify and display multiple types of data and effectively provide various types of information. Asynchronous correspondence was more favorable than synchronous, real-time interactions. Data acquisition often required assistance from other digital tools. Various functions with patient-centered principles, behavior change strategies, and motivational techniques were observed for better support shifting to a healthier lifestyle. These findings suggested that web portals for telerehabilitation not only provided entrance into rehabilitation programs but also reinforced participant-centered treatment, adherence to rehabilitation, and lifestyle changes over time.

Application of artificial intelligence in wearable devices: Opportunities and challenges

BACKGROUND AND OBJECTIVES

Wearable technologies have added completely new and fast emerging tools to the popular field of personal gadgets. Aside from being fashionable and equipped with advanced hardware technologies such as communication modules and networking, wearable devices have the potential to fuel artificial intelligence (AI) methods with a wide range of valuable data.

METHODS

Various AI techniques such as supervised, unsupervised, semi-supervised and reinforcement learning (RL) have already been used to carry out various tasks. This paper reviews the recent applications of wearables that have leveraged AI to achieve their objectives.

RESULTS

Particular example applications of supervised and unsupervised learning for medical diagnosis are reviewed. Moreover, examples combining the internet of things, wearables, and RL are reviewed. Application examples of wearables will be also presented for specific domains such as medical, industrial, and sport. Medical applications include fitness, movement disorder, mental health, etc. Industrial applications include employee performance improvement with the aid of wearables. Sport applications are all about providing better user experience during workout sessions or professional gameplays.

CONCLUSION

The most important challenges regarding design and development of wearable devices and the computation burden of using AI methods are presented. Finally, future challenges and opportunities for wearable devices are presented.

Effectiveness of Wearable Device-based Intervention on Glycemic Control in Patients with Type 2 Diabetes: A System Review and Meta-Analysis

With the development of flexible electronics and chip technology, the application value of wearable devices in lifelong treatment of chronic diseases is increasing. In view of its rapid development and diversified forms, wearable device-based intervention seems to provide a promising option to solve the problems of long-term glycemic control in type 2 diabetes (T2D). However, to date, it is unclear whether the intervention based on wearable device is effective on glycemic control in patients with T2D. In order to explore whether this choice is effective in glycemic control in patients with T2D, after database search and study screening, 6 studies and 1001 patients were selected from 181studies for this meta-analysis. The results guided that the wearable device-based intervention may be more effective than usual care on glycemic control in patients with T2D. Subgroup analysis showed that when the duration of intervention was equal to or less than 12 weeks, the effect of wearable device-based intervention was significantly different from that of usual care, but when the intervention duration greater than 12 weeks, the effect was not significantly different. The intervention effect of wearable devices with goal-setting or encouragement functions was significantly better than that of usual care, and there was no significant difference between automatic drug delivery wearable devices and usual care. In conclusion, the wearable device-based intervention is effective on glycemic control in patients with T2D. In general, this choice of wearable devices for patients with T2D may be effective to some extent.

Fusion Models for Generalized Classification of Multi-Axial Human Movement: Validation in Sport Performance

We introduce a set of input models for fusing information from ensembles of wearable sensors supporting human performance and telemedicine. Veracity is demonstrated in action classification related to sport, specifically strikes in boxing and taekwondo. Four input models, formulated to be compatible with a broad range of classifiers, are introduced and two diverse classifiers, dynamic time warping (DTW) and convolutional neural networks (CNNs) are implemented in conjunction with the input models. Seven classification models fusing information at the input-level, output-level, and a combination of both are formulated. Action classification for 18 boxing punches and 24 taekwondo kicks demonstrate our fusion classifiers outperform the best DTW and CNN uni-axial classifiers. Furthermore, although DTW is ostensibly an ideal choice for human movements experiencing non-linear variations, our results demonstrate deep learning fusion classifiers outperform DTW. This is a novel finding given that CNNs are normally designed for multi-dimensional data and do not specifically compensate for non-linear variations within signal classes. The generalized formulation enables subject-specific movement classification in a feature-blind fashion with trivial computational expense for trained CNNs. A commercial boxing system, 'Corner', has been produced for real-world mass-market use based on this investigation providing a basis for future telemedicine translation.

Developing a Framework for Designing and Deploying Technology-Assisted Rehabilitation After Stroke: A Qualitative Study

OBJECTIVE

Many unmet rehabilitation needs of patients with stroke can be addressed effectively using technology. However, technological solutions have not yet been seamlessly incorporated into clinical care. The purpose of this pilot study was to examine how to bridge the gaps between the recovery process, technology, and clinical practice to impact stroke rehabilitation meaningfully.

DESIGN

Semistructured interviews were performed using a grounded theory approach with purposive sampling of 17 diverse expert providers in acute care, inpatient, and outpatient stroke rehabilitation settings. Common themes were identified from qualitative analyses of the transcribed conversations to develop a guiding framework from the emerging concepts.

RESULTS

Four core themes emerged that addressed major barriers in stroke rehabilitation and technology-assisted solutions to overcome these barriers: (1) accessibility to quality rehabilitation, (2) adaptability to patient differences, (3) accountability or compliance with rehabilitation, and (4) engagement with rehabilitation.

CONCLUSIONS

The results suggest a four-pronged framework, the A3E framework that stands for Accessibility, Adaptability, Accountability, and Engagement, to comprehensively address existing barriers in providing rehabilitation services. This framework can guide technology developers and clinicians in designing and deploying technology-assisted rehabilitation solutions for poststroke rehabilitation, particularly using telerehabilitation.

Quantification of Motor Function Post-Stroke Using Novel Combination of Wearable Inertial and Mechanomyographic Sensors

Subjective clinical rating scales represent the gold-standard for diagnosis of motor function following stroke. In practice however, they suffer from well-recognized limitations including assessor variance, low inter-rater reliability and low resolution. Automated systems have been proposed for empirical quantification but have not significantly impacted clinical practice. We address translational challenges in this arena through: (1) implementation of a novel sensor suite combining inertial measurement and mechanomyography (MMG) to quantify hand and wrist motor function; and (2) introduction of a new range of signal features extracted from the suite to supplement predicted clinical scores. The wearable sensors, signal features, and machine learning algorithms have been combined to produce classified ratings from the Fugl-Meyer clinical assessment rating scale. Furthermore, we have designed the system to augment clinical rating with several sensor-derived supplementary features encompassing critical aspects of motor dysfunction (e.g. joint angle, muscle activity, etc.). Performance is validated through a large-scale study on a post-stroke cohort of 64 patients. Fugl-Meyer Assessment tasks were classified with 75% accuracy for gross motor tasks and 62% for hand/wrist motor tasks. Of greater import, supplementary features demonstrated concurrent validity with Fugl-Meyer ratings, evidencing their utility as new measures of motor function suited to automated assessment. Finally, the supplementary features also provide continuous measures of sub-components of motor function, offering the potential to complement low accuracy but well-validated clinical rating scales when high-quality motor outcome measures are required. We believe this work provides a basis for widespread clinical adoption of inertial-MMG sensor use for post-stroke clinical motor assessment.

Enabling Guidelines for the Adoption of eHealth Solutions: Scoping Review

BACKGROUND

Globally, public health care is under increasing pressure, an economic burden currently amplified by the COVID-19 outbreak. With the recognition that universal health coverage improves the health of a population and reduces health inequalities, universal health coverage has been acknowledged as a priority goal. To meet the global needs in a population with increased chronic illness and longer life expectancy, the health care system is in dire need of new, emerging technologies. eHealth solutions as a method of delivery may have an impact on quality of care and health care costs. As such, it is important to study methods previously used to avoid suboptimal implementation and promote general guidelines to further develop eHealth solutions.

OBJECTIVE

This study aims to explore and thematically categorize a selected representation of early phase studies on eHealth technologies, focusing on papers that are under development or undergoing testing. Further, we want to assess enablers and barriers in terms of usability, scaling, and data management of eHealth implementation. The aim of this study to explore early development phase and feasibility studies was an intentional effort to provide applicable guidelines for evaluation at different stages of implementation.

METHODS

A structured search was performed in PubMed, MEDLINE, and Cochrane to identify and provide insight in current eHealth technology and methodology under development and gain insight in the future potential of eHealth technologies.

RESULTS

In total, 27 articles were included in this review. The clinical studies were categorized thematically by illness comparing 4 technology types deemed relevant: apps/web-based technology, sensor technology, virtual reality, and television. All eHealth assessment and implementation studies were categorized by their focus point: usability, scaling, or data management. Studies assessing the effect of eHealth were divided into feasibility studies, qualitative studies, and heuristic assessments. Studies focusing on usability (16/27) mainly addressed user involvement and learning curve in the adoption of eHealth, while the majority of scaling studies (6/27) focused on strategic and organizational aspects of upscaling eHealth solutions. Studies focusing on data management (5/27) addressed data processing and data sensitivity in adoption and diffusion of eHealth. Efficient processing of data in a secure manner, as well as user involvement and feedback, both throughout small studies and during upscaling, were the important enablers considered for successful implementation of eHealth.

CONCLUSIONS

eHealth interventions have considerable potential to improve lifestyle changes and adherence to treatment recommendations. To promote efficient implementation and scaling, user involvement to promote user-friendliness, secure and adaptable data management, and strategical considerations needs to be addressed early in the development process. eHealth should be assessed during its development into health services. The wide variation in interventions and methodology makes comparison of the results challenging and calls for standardization of methods.

Effects on walking performance and lower body strength by short message service guided training after stroke or transient ischemic attack (The STROKEWALK Study): a randomized controlled trial

OBJECTIVE

To evaluate whetherdaily mobile-phone delivered messages with training instructions during three months increase physical activity and overall mobility in patients soon after stroke or transient ischemic attack.

DESIGN

Randomised controlled trial with intention-to-treat analyses.

SETTING

University hospital. Data collection from November 2016 until December2018.

SUBJECTS

Seventy-nine patients (mean (SD) age 63.9 (10.4) years, 29 were women) were allocated to either intervention (n = 40) or control group (n = 39). Participants had to be independent (modified Ranking Scale ⩽2) and able to perform the six-minute walking test at discharge from the hospital.

INTERVENTIONS

The intervention group received standard care and daily mobile phone instructional text messages to perform regular outdoor walking and functional leg exercises. The control group received standard care; that is, primary care follow-up.

MAIN MEASURES

Walking performance by six-minute walking test (m), lower body strength by five times chair-stand test (s), the short physical performance battery (0-12 points) and 10-metres walk test (m/s) were assessed at baseline and after three months.

RESULTS

The estimated median difference in the six-minute walking test was in favour of the intervention group by 30 metres (95% CI, 55 to 1; effect size 0.64; P = 0.037) and in the chair-stand test by 0.88 seconds (95% CI, 0.02 to 1.72; effect size 0.64; P = 0.034). There were no differences between groups on the short physical performance battery or in 10-metres walking time.

CONCLUSIONS

Three months of daily mobile phone text messages with guided training instructions improved composite mobility measures; that is, walking performanceand lower body strength.

CLINICAL TRIAL REGISTRY

The study is registered with ClinicalTrials.gov, number NCT02902367.

Effect of Internet-Based Rehabilitation Programs on Improvement of Pain and Physical Function in Patients with Knee Osteoarthritis: Systematic Review and Meta-analysis of Randomized Controlled Trials

Background

Osteoarthritis (OA) is a chronic, debilitating, and degenerative joint disease. However, it is difficult for patients with knee OA to access conventional rehabilitation when discharging from the hospital. Internet-based rehabilitation is one of the promising telemedicine strategies to provide a means combining monitoring, guidance, and treatment for patients with knee OA.

Objective

The aim of this study was to conduct a systematic review and meta-analysis for assessing the effect of internet-based rehabilitation programs on pain and physical function in patients with knee OA.

Methods

Keywords related to knee OA and internet-based rehabilitation were systematically searched in the Web of Science, MEDLINE, EMBASE, CENTRAL, Scopus, PEDro (Physiotherapy Evidence Database), CNKI, SinoMed, and WANFANG databases from January 2000 to April 2020. Only randomized controlled trials were included. The authors independently screened the literature. The main outcome measures were focused on pain and physical function. A meta-analysis was performed on the collected data. Review Manager (RevMan, version 5.3) was used for all analyses.

Results

The systematic review identified 6 randomized controlled trials, 4 of which were included in the meta-analysis, comprising a total of 791 patients with knee OA. The meta-analysis with the fixed-effects model showed that the internet-based rehabilitation programs could significantly alleviate the osteoarthritic pain for patients compared with conventional rehabilitation (standardized mean difference [SMD] –0.21, 95% CI  −0.4 to –0.01, P=.04). No significant difference was found in the improvement of physical function in patients with knee OA compared with conventional rehabilitation within 2 to 12 months (SMD –0.08, 95% CI −0.27 to 0.12, P=.43).

Conclusions

This systematic review shows that internet-based rehabilitation programs could improve the pain but not physical function for patients with knee OA. However, there was a very small number of studies that could be included in the review and meta-analysis. Thus, further studies with large sample sizes are warranted to promote the effectiveness of internet-based rehabilitation and to develop its personalized design.

The feasibility and effectiveness of internet-based rehabilitation for patients with knee osteoarthritis: A study protocol of randomized controlled trial in the community setting

BACKGROUND

Internet-based rehabilitation can ease the progression of chronic diseases. There had been studies on internet-based rehabilitation of knee osteoarthritis (OA), but them were conducted at home and ignored the potential benefits in the community setting. This study will explore the feasibility and effectiveness of internet-based rehabilitation accompanies wearable devices in the community setting for the patients with knee OA.

METHODS

An assessor-blinded randomized controlled feasibility trial will be performed to study the feasibility and effectiveness of internet-based rehabilitation program for the patients with knee OA in the community setting. Forty participants with knee OA will be recruited and randomly allocated into internet-based rehabilitation group (IRG) or control group (CG). The interventions of IRG will be performed in the community setting via web-based platform and wearable devices. The outcome measures will be conducted at baseline, and post-intervention 6 weeks, 12 weeks during the study. The feasibility will be tested by the proportion of participants who will complete the internet-based rehabilitation program within 12 weeks in IRG as well as the compliance and satisfaction. Additionally, the effectiveness of internet-based rehabilitation will be assessed by the Western Ontario and McMaster Universities Osteoarthritis Index, 11-point Numerical Rating Scale and Short Form-36 quality-of-life questionnaire.

CONCLUSION

The internet-based rehabilitation program and community-based interventions is feasible and efficacy to ameliorate the osteoarthritic pain and promote the physical function and quality of life for the patients with knee OA in the community setting.

TRIAL REGISTRATION NUMBER

The study was registered in the clinical trial registry ChiCTR2000033397.

A Multimodal Intention Detection Sensor Suite for Shared Autonomy of Upper-Limb Robotic Prostheses

Neurorobotic augmentation (e.g., robotic assist) is now in regular use to support individuals suffering from impaired motor functions. A major unresolved challenge, however, is the excessive cognitive load necessary for the human–machine interface (HMI). Grasp control remains one of the most challenging HMI tasks, demanding simultaneous, agile, and precise control of multiple degrees-of-freedom (DoFs) while following a specific timing pattern in the joint and human–robot task spaces. Most commercially available systems use either an indirect mode-switching configuration or a limited sequential control strategy, limiting activation to one DoF at a time. To address this challenge, we introduce a shared autonomy framework centred around a low-cost multi-modal sensor suite fusing: (a) mechanomyography (MMG) to estimate the intended muscle activation, (b) camera-based visual information for integrated autonomous object recognition, and (c) inertial measurement to enhance intention prediction based on the grasping trajectory. The complete system predicts user intent for grasp based on measured dynamical features during natural motions. A total of 84 motion features were extracted from the sensor suite, and tests were conducted on 10 able-bodied and 1 amputee participants for grasping common household objects with a robotic hand. Real-time grasp classification accuracy using visual and motion features obtained 100%, 82.5%, and 88.9% across all participants for detecting and executing grasping actions for a bottle, lid, and box, respectively. The proposed multimodal sensor suite is a novel approach for predicting different grasp strategies and automating task performance using a commercial upper-limb prosthetic device. The system also shows potential to improve the usability of modern neurorobotic systems due to the intuitive control design.

Enabling Older Adults' Health Self-Management through Self-Report and Visualization-A Systematic Literature Review

Aging is associated with a progressive decline in health, resulting in increased medical care and costs. Mobile technology may facilitate health self-management, thus increasing the quality of care and reducing costs. Although the development of technology offers opportunities in monitoring the health of older adults, it is not clear whether these technologies allow older adults to manage their health data themselves. This paper presents a review of the literature on mobile health technologies for older adults, focusing on whether these technologies enable the visualization of monitored data and the self-reporting of additional information by the older adults. The systematic search considered studies published between 2009 and 2019 in five online databases. We screened 609 articles and identified 95 that met our inclusion and exclusion criteria. Smartphones and tablets are the most frequently reported technology for older adults to enter additional data to the one that is monitored automatically. The recorded information is displayed on the monitoring device and screens of external devices such as computers. Future designs of mobile health technology should allow older users to enter additional information and visualize data; this could enable them to understand their own data as well as improve their experience with technology.

New advances in mechanomyography sensor technology and signal processing: Validity and intrarater reliability of recordings from muscle

Introduction

The Mechanical Muscle Activity with Real-time Kinematics project aims to develop a device incorporating wearable sensors for arm rehabilitation following stroke. These will record kinematic activity using inertial measurement units and mechanical muscle activity. The gold standard for measuring muscle activity is electromyography; however, mechanomyography offers an appropriate alterative for our home-based rehabilitation device. We have patent filed a new laboratory-tested device that combines an inertial measurement unit with mechanomyography. We report on the validity and reliability of the mechanomyography against electromyography sensors.

Methods

In 18 healthy adults (27–82 years), mechanomyography and electromyography recordings were taken from the forearm flexor and extensor muscles during voluntary contractions. Isometric contractions were performed at different percentages of maximal force to examine the validity of mechanomyography. Root-mean-square of mechanomyography and electromyography was measured during 1 s epocs of isometric flexion and extension. Dynamic contractions were recorded during a tracking task on two days, one week apart, to examine reliability of muscle onset timing.

Results

Reliability of mechanomyography onset was high (intraclass correlation coefficient = 0.78) and was comparable with electromyography (intraclass correlation coefficient = 0.79). The correlation between force and mechanomyography was high (R² = 0.94).

Conclusion

The mechanomyography device records valid and reliable signals of mechanical muscle activity on different days.

Perspectives on the prospective development of stroke-specific lower extremity wearable monitoring technology: a qualitative focus group study with physical therapists and individuals with stroke

BACKGROUND

Wearable activity monitors that track step count can increase the wearer's physical activity and motivation but are infrequently designed for the slower gait speed and compensatory patterns after stroke. New and available technology may allow for the design of stroke-specific wearable monitoring devices, capable of detecting more than just step counts, which may enhance how rehabilitation is delivered. The objective of this study was to identify important considerations in the development of stroke-specific lower extremity wearable monitoring technology for rehabilitation, from the perspective of physical therapists and individuals with stroke.

METHODS

A qualitative research design with focus groups was used to collect data. Five focus groups were conducted, audio recorded, and transcribed verbatim. Data were analyzed using content analysis to generate overarching categories representing the stakeholder considerations for the development of stroke-specific wearable monitor technology for the lower extremity.

RESULTS

A total of 17 physical therapists took part in four focus group discussions and three individuals with stroke participated in the fifth focus group. Our analysis identified four main categories for consideration: 1) 'Variability' described the heterogeneity of patient presentation, therapy approaches, and therapeutic goals that are taken into account for stroke rehabilitation; 2) 'Context of use' described the different settings and purposes for which stakeholders could foresee employing stroke-specific wearable technology; 3) 'Crucial design features' identified the measures, functions, and device characteristics that should be considered for incorporation into prospective technology to enhance uptake; and 4) 'Barriers to adopting technology' highlighted challenges, including personal attitudes and design flaws, that may limit the integration of current and future wearable monitoring technology into clinical practice.

CONCLUSIONS

The findings from this qualitative study suggest that the development of stroke-specific lower extremity wearable monitoring technology is viewed positively by physical therapists and individuals with stroke. While a single, specific device or function may not accommodate all the variable needs of therapists and their clients, it was agreed that wearable monitoring technology could enhance how physical therapists assess and treat their clients. Future wearable devices should be developed in consideration of the highlighted design features and potential barriers for uptake.

Effectiveness of Upper Limb Wearable Technology for Improving Activity and Participation in Adult Stroke Survivors: Systematic Review

BACKGROUND

With advances in technology, the adoption of wearable devices has become a viable adjunct in poststroke rehabilitation. Upper limb (UL) impairment affects up to 77% of stroke survivors impacting on their ability to carry out everyday activities. However, despite an increase in research exploring these devices for UL rehabilitation, little is known of their effectiveness.

OBJECTIVE

This review aimed to assess the effectiveness of UL wearable technology for improving activity and participation in adult stroke survivors.

METHODS

Randomized controlled trials (RCTs) and randomized comparable trials of UL wearable technology for poststroke rehabilitation were included. Primary outcome measures were validated measures of activity and participation as defined by the International Classification of Functioning, Disability, and Health. Databases searched were MEDLINE, Web of Science (Core collection), CINAHL, and the Cochrane Library. The Cochrane Risk of Bias Tool was used to assess the methodological quality of the RCTs and the Downs and Black Instrument for the quality of non RCTs.

RESULTS

In the review, we included 11 studies with collectively 354 participants at baseline and 323 participants at final follow-up including control groups and participants poststroke. Participants' stroke type and severity varied. Only 1 study found significant between-group differences for systems functioning and activity (P≤.02). The 11 included studies in this review had small sample sizes ranging from 5 to 99 participants at an average (mean) age of 57 years.

CONCLUSIONS

This review has highlighted a number of reasons for insignificant findings in this area including low sample sizes and the appropriateness of the methodology for complex interventions. However, technology has the potential to measure outcomes, provide feedback, and engage users outside of clinical sessions. This could provide a platform for motivating stroke survivors to carry out more rehabilitation in the absence of a therapist, which could maximize recovery.

TRIAL REGISTRATION

PROSPERO CRD42017057715; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=57715.

Home program practices for supporting and measuring adherence in post-stroke rehabilitation: a scoping review

BACKGROUND

After stroke, individuals face a variety of impairments that impact function. Increasingly, rehabilitation for these impairments has moved into the community and home settings through the use of home programs. However, adherence to these programs is often low, limiting effectiveness.

OBJECTIVE

This scoping review investigated home program implementation and measurement of adherence with persons post-stroke to identify commonly reported practices and determine areas for further research.

METHODS

The electronic databases of PubMed, CINAHL, Scopus, Cochrane Database of Systematic Reviews, and PEDro were searched. Studies focused on post-stroke rehabilitation with an independent home program were selected. Qualitative studies, commentaries, and single-case studies were excluded. Title and abstract screenings were completed by two reviewers with a third for tie-breaking. The full-text review was completed by two reviewers using consensus to resolve any differences. Of the 1,197 articles initially found only 6% (n = 70) met criteria for data extraction. Elements for data extraction included: type of study, area of intervention, description of home program, presence of strategies to support adherence, methods to measure adherence and reported adherence.

RESULTS

Most commonly reported strategies to support home practice were the use of technology, personalization, and written directions. Only 20 studies reported achieving adherence at or greater than 75% and 18 studies did not report adherence outcomes.

CONCLUSIONS

Future investigations that directly compare and identify the most effective strategies to support adherence to home programs for this population are warranted. The implementation of guidelines for reporting adherence to home programs is recommended.

Wearable technology in stroke rehabilitation: towards improved diagnosis and treatment of upper-limb motor impairment

Stroke is one of the main causes of long-term disability worldwide, placing a large burden on individuals and society. Rehabilitation after stroke consists of an iterative process involving assessments and specialized training, aspects often constrained by limited resources of healthcare centers. Wearable technology has the potential to objectively assess and monitor patients inside and outside clinical environments, enabling a more detailed evaluation of the impairment and allowing the individualization of rehabilitation therapies. The present review aims to provide an overview of wearable sensors used in stroke rehabilitation research, with a particular focus on the upper extremity. We summarize results obtained by current research using a variety of wearable sensors and use them to critically discuss challenges and opportunities in the ongoing effort towards reliable and accessible tools for stroke rehabilitation. Finally, suggestions concerning data acquisition and processing to guide future studies performed by clinicians and engineers alike are provided.

Functional measurement post-stroke via mobile application and body-worn sensor technology

BACKGROUND

Long-term management of individuals post-stroke is essential due to the resultant chronic disability and risk for recurrent stroke. Mobile health technology shows increasing promise to provide cost-effective monitoring and support systems for the patient, caregiver, and healthcare team. Ideally, such systems will include stroke management adherence support, mechanisms to link patients and caregivers to resources, and secure longitudinal data collection with archive that are employed to optimize recovery. However, healthcare providers and computer science application developers must first collaborate to identify meaningful measures and develop methods to reliably gather such data remotely via mobile systems.

METHODS

mStroke is a mobile health system composed of two sensors and a mobile application designed to support optimal recovery for stroke survivors. Using the World Health Organization's International Classification of Functioning, Disability and Health model (ICF model), the authors identified 4 measures that are commonly used in the clinic and developed the mobile application features to support remote data collection: National Institutes of Health Stroke Scale (NIHSS) items 5 and 6 (Motor Arm and Leg function), Functional Reach Test (FRT), and 10 Meter Walk Test (10MWT). At a local inpatient rehabilitation facility, each measure was executed with 35 stroke survivors through simultaneous scoring by the mStroke system and standardized clinical assessment. Correlation coefficients were calculated for clinician versus mStroke system scoring.

RESULTS

All four clinical measures significantly correlated with mStroke system app scoring: NIHSS Motor Arm-0.839, P<0.001; NIHSS Motor Leg-0.736, P<0.001; FRT-0.630, P<0.01; 10MWT-0.994, P<0.001.

CONCLUSIONS

Results should be approached with caution as significant data skew was present for NIHSS Motor Arm and Motor Leg tests and the FRT results are not strong enough for broad translation. However, positive findings were demonstrated that support further investment in development, refinement, and testing of mobile health systems to provide clinically meaningful remote measurement via mobile technology. The ICF model was a helpful framework for guiding clinician and application developer collaboration and identifying meaningful features for app development.

Trustworthiness, Readability, and Suitability of Web-Based Information for Stroke Prevention and Self-Management for Korean Americans: Critical Evaluation

Background

Websites are common sources of health information to stroke survivors and caregivers for continual management of stroke and its long-term sequelae. The presence of risk factors and mortality rates related to stroke are high in Korean Americans. A vast majority of this group are active Web users and rely on the Web-based information due to lack of insurance and, thus, limited access to long-term stroke care. Thus, it is critical to evaluate existing stroke websites for their trustworthiness, readability, and suitability.

Objective

The objective of our study was to provide a systematic evaluation of stroke-related websites regarding (1) trustworthiness, (2) readability, and (3) suitability for stroke prevention and self-management for Korean Americans.

Methods

We selected a total of 156 websites using search terms “stroke,” “CVA,” “중풍 (jungpung),” and “뇌졸증 (noejoljung)” on Google and Yahoo. After eliminating duplicates and irrelevant websites (n=116), we evaluated a total of 42 websites (15 in English and 27 in Korean) using the National Library of Medicine’s health website’s evaluation tool for trustworthiness; Simple Measure of Gobbledygook for readability; and Suitability Assessment of Materials for suitability. All three instruments used the 3-point Likert scale: superior (=2), adequate (=1), or not suitable (=0).

Results

Of the 42 websites evaluated, we rated 62% (26/42) websites as “adequate” or above for trustworthiness. The information on 48% (20/42) websites had not been updated for more than a year, which indicates poor currency; 33% (14/42) websites failed to provide the publisher and contact information, which yields poor authority; 50% (21/42) websites did not cite sources of health information, which indicates lack of accuracy. Only 2 websites met the recommended readability (5th grade or lower reading level). The suitability was also suboptimal; only 1 website was rated as “superior”; 60% (25/42) websites were “adequate,” and 38% (16/42) were “not suitable.” Most websites were limited in graphical directions, interactive motivations for desired healthy behaviors, and multiple language translations.

Conclusions

The existing stroke-related websites in either English or Korean are trustworthy and suitable, yet precise citation of evidence-based information will improve trustworthiness. The contents requiring high reading level may set a barrier to the utilization of Web-based health information for Korean Americans with a lower level of education. In addition, supplementing graphical examples, interaction features, and culturally relevant information in multiple languages are the areas for improvement in suitability. The improved features can reduce the reading burden of stroke patients or caregivers and build their confidence when applying the information for stroke management in daily living. These strategies are especially crucial to Korean Americans, who inevitably seek Web-based information to fill the gap between their demand and access to health care for a long-term self-management after a stroke.

Self-directed therapy programmes for arm rehabilitation after stroke: a systematic review

AIM

To investigate the effectiveness of self-directed arm interventions in adult stroke survivors.

METHODS

A systematic review of Medline, EMBASE, CINAHL, SCOPUS and IEEE Xplore up to February 2018 was carried out. Studies of stroke arm interventions were included where more than 50% of the time spent in therapy was initiated and carried out by the participant. Quality of the evidence was assessed using the Cochrane risk of bias tool.

RESULTS

A total of 40 studies ( n = 1172 participants) were included (19 randomized controlled trials (RCTs) and 21 before-after studies). Studies were grouped according to no technology or the main additional technology used (no technology n = 5; interactive gaming n = 6; electrical stimulation n = 11; constraint-induced movement therapy n = 6; robotic and dynamic orthotic devices n = 8; mirror therapy n = 1; telerehabilitation n = 2; wearable devices n = 1). A beneficial effect on arm function was found for self-directed interventions using constraint-induced movement therapy ( n = 105; standardized mean difference (SMD) 0.39, 95% confidence interval (CI) -0.00 to 0.78) and electrical stimulation ( n = 94; SMD 0.50, 95% CI 0.08-0.91). Constraint-induced movement therapy and therapy programmes without technology improved independence in activities of daily living. Sensitivity analysis demonstrated arm function benefit for patients >12 months poststroke ( n = 145; SMD 0.52, 95% CI 0.21-0.82) but not at 0-3, 3-6 or 6-12 months.

CONCLUSION

Self-directed interventions can enhance arm recovery after stroke but the effect varies according to the approach used and timing. There were benefits identified from self-directed delivery of constraint-induced movement therapy, electrical stimulation and therapy programmes that increase practice without using additional technology.