Telerehabilitation of Post-Stroke Patients with Motor Function Disorders: A Review

Artificial intelligence-driven virtual rehabilitation for people living in the community: A scoping review

Virtual Rehabilitation (VRehab) is a promising approach to improving the physical and mental functioning of patients living in the community. The use of VRehab technology results in the generation of multi-modal datasets collected through various devices. This presents opportunities for the development of Artificial Intelligence (AI) techniques in VRehab, namely the measurement, detection, and prediction of various patients' health outcomes. The objective of this scoping review was to explore the applications and effectiveness of incorporating AI into home-based VRehab programs. PubMed/MEDLINE, Embase, IEEE Xplore, Web of Science databases, and Google Scholar were searched from inception until June 2023 for studies that applied AI for the delivery of VRehab programs to the homes of adult patients. After screening 2172 unique titles and abstracts and 51 full-text studies, 13 studies were included in the review. A variety of AI algorithms were applied to analyze data collected from various sensors and make inferences about patients' health outcomes, most involving evaluating patients' exercise quality and providing feedback to patients. The AI algorithms used in the studies were mostly fuzzy rule-based methods, template matching, and deep neural networks. Despite the growing body of literature on the use of AI in VRehab, very few studies have examined its use in patients' homes. Current research suggests that integrating AI with home-based VRehab can lead to improved rehabilitation outcomes for patients. However, further research is required to fully assess the effectiveness of various forms of AI-driven home-based VRehab, taking into account its unique challenges and using standardized metrics.

The Extent of Evidence Supporting the Effectiveness of Extended Reality Telerehabilitation on Different Qualitative and Quantitative Outcomes in Stroke Survivors: A Systematic Review

Objective: To present the extent of evidence concerning the effectiveness of extended reality telerehabilitation and patients' experiences of using different types of virtual reality exercises at home. Methods: We included studies on virtual reality and augmented reality telerehabilitation published in English. Systematic searches were undertaken in PubMed, Web of Sciences, Medline, Embase, CINAHL, and PEDro, with no date limitations. We included only RCTs and qualitative studies exploring patients' experiences. Methodological quality was assessed using the Cochrane Risk of Bias assessment tool for quantitative papers and the CASP scale for qualitative studies. All results are presented narratively. Results: Thirteen studies, nine quantitative and four qualitative, were included, with one qualitative and seven quantitative having a high risk of bias. All studies reported that extended reality-based telerehabilitation may be effective compared to conventional exercises or other extended reality exercises. Seven quantitative studies focused on upper limb function. Qualitative papers suggested that VR exercises were perceived as feasible by patients. Conclusions: The literature suggests VR home exercises are feasible and potentially effective for patients after a stroke in the upper limb. Further high-quality studies are needed to examine the effectiveness of XR exercises early adoption on different qualitative and quantitative outcomes. Registration number: (CRD42022384356).

Measures to ensure safety during telerehabilitation of people with stroke: A scoping review

BACKGROUND

Measures used to prevent adverse events during the implementation of exercise sessions delivered via telerehabilitation can be varied, ranging from simple telephone monitoring to synchronous therapist-led sessions. However, this information is scattered in the literature, as evidence synthesis studies have only addressed the safety, satisfaction, and effectiveness aspects of exercise delivered via telerehabilitation.

AIMS

This scoping review aims to describe that measures are used to ensure safety during exercise sessions delivered to people with stroke through telerehabilitation, as reported by authors of primary studies. Secondarily, it describes the designs most frequently used to notify the effects of telerehabilitation and evidence level, the characteristics of the participants and type of stroke, and the characteristics of telerehabilitation.

SUMMARY OF REVIEW

A scoping review was conducted according to the Joana Briggs Institute (JBI) recommendations. A systematic search of MEDLINE (Ovid), Embase (Ovid), CENTRAL, and CINHAL was conducted from inception to August 2022, and a review of systematic review references on the topic. We included primary studies that enrolled adults with stroke who underwent exercise delivered via telerehabilitation. Two independent reviewers performed study selection and data extraction, and disagreements were resolved by consensus or a third reviewer. A qualitative analysis of the information was performed. One hundred seven primary studies (3991 participants) published between 2002 and 2022 were included. Most studies were case series (43%) and rated with an Oxford level of evidence of "4" (55.3%). Regarding randomized clinical trials, half included 53 or more participants (IQR 26.75 to 81). Most studies applied the exercises via asynchronous telerehabilitation (55.1%), of which only ten reported measures to avoid adverse events. Some of the measures included assessing the location where exercises are to be performed, only using a seated position, and using live warning systems that prevent or stop exercises when they are risky.

CONCLUSIONS

Reporting of measures implemented to prevent adverse events during exercise delivery via asynchronous telerehabilitation is scarce. Future primary studies should always consider reporting adverse events related to exercise delivery via telerehabilitation and strategies implemented to decrease the incidence of these unwanted safety events.

REGISTRATION NUMBER

INPLASY202290104.