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Woelfle T, Bourguignon L, Lorscheider J, Kappos L, Naegelin Y, Jutzeler CR. Wearable Sensor Technologies to Assess Motor Functions in People With Multiple Sclerosis: Systematic Scoping Review and Perspective. J Med Internet Res 2023; 25:e44428. [PMID: 37498655 PMCID: PMC10415952 DOI: 10.2196/44428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 12/19/2022] [Accepted: 05/04/2023] [Indexed: 07/28/2023] Open
Abstract
BACKGROUND Wearable sensor technologies have the potential to improve monitoring in people with multiple sclerosis (MS) and inform timely disease management decisions. Evidence of the utility of wearable sensor technologies in people with MS is accumulating but is generally limited to specific subgroups of patients, clinical or laboratory settings, and functional domains. OBJECTIVE This review aims to provide a comprehensive overview of all studies that have used wearable sensors to assess, monitor, and quantify motor function in people with MS during daily activities or in a controlled laboratory setting and to shed light on the technological advances over the past decades. METHODS We systematically reviewed studies on wearable sensors to assess the motor performance of people with MS. We scanned PubMed, Scopus, Embase, and Web of Science databases until December 31, 2022, considering search terms "multiple sclerosis" and those associated with wearable technologies and included all studies assessing motor functions. The types of results from relevant studies were systematically mapped into 9 predefined categories (association with clinical scores or other measures; test-retest reliability; group differences, 3 types; responsiveness to change or intervention; and acceptability to study participants), and the reporting quality was determined through 9 questions. We followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) reporting guidelines. RESULTS Of the 1251 identified publications, 308 were included: 176 (57.1%) in a real-world context, 107 (34.7%) in a laboratory context, and 25 (8.1%) in a mixed context. Most publications studied physical activity (196/308, 63.6%), followed by gait (81/308, 26.3%), dexterity or tremor (38/308, 12.3%), and balance (34/308, 11%). In the laboratory setting, outcome measures included (in addition to clinical severity scores) 2- and 6-minute walking tests, timed 25-foot walking test, timed up and go, stair climbing, balance tests, and finger-to-nose test, among others. The most popular anatomical landmarks for wearable placement were the waist, wrist, and lower back. Triaxial accelerometers were most commonly used (229/308, 74.4%). A surge in the number of sensors embedded in smartphones and smartwatches has been observed. Overall, the reporting quality was good. CONCLUSIONS Continuous monitoring with wearable sensors could optimize the management of people with MS, but some hurdles still exist to full clinical adoption of digital monitoring. Despite a possible publication bias and vast heterogeneity in the outcomes reported, our review provides an overview of the current literature on wearable sensor technologies used for people with MS and highlights shortcomings, such as the lack of harmonization, transparency in reporting methods and results, and limited data availability for the research community. These limitations need to be addressed for the growing implementation of wearable sensor technologies in clinical routine and clinical trials, which is of utmost importance for further progress in clinical research and daily management of people with MS. TRIAL REGISTRATION PROSPERO CRD42021243249; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=243249.
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Affiliation(s)
- Tim Woelfle
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Lucie Bourguignon
- Department of Health Sciences and Technology, ETH Zurich, Zürich, Switzerland
| | - Johannes Lorscheider
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Ludwig Kappos
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Yvonne Naegelin
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Basel, Switzerland
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Voggenberger L, Böck M, Moser D, Lorbeer G, Altmann P, Leutmezer F, Berger T, Seidel S. Bright light therapy as a non-pharmacological treatment option for multiple sclerosis-related fatigue: A randomized sham-controlled trial. Mult Scler J Exp Transl Clin 2022; 8:20552173221133262. [PMID: 36387033 PMCID: PMC9647309 DOI: 10.1177/20552173221133262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 09/29/2022] [Indexed: 11/11/2022] Open
Abstract
Background Fatigue is a common symptom in people with multiple sclerosis (pwMS) that
significantly impairs quality of life. Bright light therapy may be a cheap
treatment option with little to no adverse events. Objectives To evaluate the effectiveness of bright light therapy as a treatment option
for MS-related fatigue. Methods This was randomized sham-controlled trial including 26 pwMS with a Fatigue
Severity Scale (FSS) Score ≥36. Participants were assigned to receive either
bright white light therapy (n = 13) or dim red light
(sham-intervention; n = 13). Participants used the
respective intervention for 30 min each morning for two weeks, followed by a
two-week washout period. The primary endpoint was the difference in FSS
scores following light treatment as calculated by analysis of
covariance. Results There was no significant difference in FSS (F(1,23) = 2.39,
p = .136, partial ⴄ2 = .094). However, FSS
scores generally improved over the course of the study in a clinically
relevant manner. Conclusion Bright light therapy decreased FSS scores over the course of this study.
However, this effect was not significant in comparison to a sham
intervention.
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Affiliation(s)
- Lisa Voggenberger
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Marion Böck
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Doris Moser
- Department of Neurology, General Hospital of Vienna, Vienna, Austria
| | - Gudrun Lorbeer
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Patrick Altmann
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Fritz Leutmezer
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Thomas Berger
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Stefan Seidel
- Department of Neurology, Medical University of Vienna, Vienna, Austria
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Braakhuis HEM, Berger MAM, Regterschot RGRH, van Wegen EEH, Selles RW, Ribbers GM, Bussmann JBJ. Physical activity dimensions after stroke: patterns and relation with lower limb motor function. J Neuroeng Rehabil 2021; 18:171. [PMID: 34895265 PMCID: PMC8666008 DOI: 10.1186/s12984-021-00960-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 11/19/2021] [Indexed: 11/17/2022] Open
Abstract
Background Stroke survivors show deteriorated physical functioning and physical activity levels. Physical activity levels of stroke survivors are generally low. It is increasingly recognized that physical activity is a multidimensional construct that cannot be captured in a single outcome. In-depth insight into multidimensional physical activity patterns may guide the development and timing of targeted rehabilitation interventions. This longitudinal cohort study explored how multidimensional physical activity outcomes develop during recovery in the subacute phase after stroke and if changes in physical activity were correlated to recovery of lower limb motor function. Methods Patients were recruited during inpatient rehabilitation. At 3, 12, and 26 weeks post-onset, motor function was measured by the Fugl-Meyer Lower Extremity Assessment (FMA-LE). Physical activity was measured with the Activ8 accelerometer in multiple outcomes: counts per minute during walking (CPMwalking; a measure of Intensity), number of active bouts (Frequency), mean length of active bouts (Distribution) and % of waking time in upright positions (Duration). Generalized estimating equations (GEE) were used to study changes in physical activity over time and the relation with the change in lower limb motor recovery. Results Thirty-nine patients (age 56 ± 9, 77% male, 89% ischemic stroke) were included. GEE models showed a significant main effect of time for PA Intensity (+ 13%, p = 0.007) and Duration (+ 64%, p = 0.012) between 3 and 12 weeks. Motor function did not show a significant effect in all PA models across the 3 timepoints (p > 0.020). A significant interaction effect of time × motor function was observed (p < 0.001). Conclusions Patterns of PA recovery depend on the PA dimensions: PA Intensity and Duration increased mostly between 3 and 12 weeks post-stroke, whereas Frequency and Distribution did not show substantial changes. Further, no strong associations with motor recovery and high inter-individual variability were documented, which underlies the need to consider factors specific to the disease, the individual patient and the context.
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Affiliation(s)
- Hanneke E M Braakhuis
- Department of Rehabilitation Medicine and Physical Therapy, Erasmus MC University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands. .,Rijndam Rehabilitation, Rotterdam, The Netherlands. .,Faculty of Health, Nutrition and Sport, The Hague University of Applied Sciences, The Hague, The Netherlands.
| | - Monique A M Berger
- Faculty of Health, Nutrition and Sport, The Hague University of Applied Sciences, The Hague, The Netherlands
| | - Ruben G R H Regterschot
- Department of Rehabilitation Medicine and Physical Therapy, Erasmus MC University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands.,Department of Biomedical Signals and Systems, University of Twente, Enschede, The Netherlands
| | - Erwin E H van Wegen
- Department of Rehabilitation Medicine, Amsterdam Neuroscience and Amsterdam Movement Sciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Ruud W Selles
- Department of Rehabilitation Medicine and Physical Therapy, Erasmus MC University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands.,Department of Plastic and Reconstructive Surgery, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Gerard M Ribbers
- Department of Rehabilitation Medicine and Physical Therapy, Erasmus MC University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands.,Rijndam Rehabilitation, Rotterdam, The Netherlands
| | - Johannes B J Bussmann
- Department of Rehabilitation Medicine and Physical Therapy, Erasmus MC University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands.,Rijndam Rehabilitation, Rotterdam, The Netherlands
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von Rosen P, Hagströmer M, Franzén E, Leavy B. Physical activity profiles in Parkinson's disease. BMC Neurol 2021; 21:71. [PMID: 33581724 PMCID: PMC7881685 DOI: 10.1186/s12883-021-02101-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 01/31/2021] [Indexed: 12/25/2022] Open
Abstract
Background Identifying physical activity (PA) profiles of people with Parkinson’s Disease (PD) could provide clinically meaningful knowledge concerning how to tailor PA interventions. Our objectives were therefore to i) identify distinct PA profiles in people with PD based on accelerometer data, ii) explore differences between the profiles regarding personal characteristics and physical function. Methods Accelerometer data from 301 participants (43% women, mean age: 71 years) was analysed using latent profile analyses of 15 derived PA variables. Physical function measurements included balance performance, comfortable gait speed and single and dual-task functional mobility. Results Three distinct profiles were identified; “Sedentary” (N = 68), “Light Movers” (N = 115), “Steady Movers” (N = 118). “Sedentary” included people with PD with high absolute and relative time spent in Sedentary behaviour (SB), little time light intensity physical activity (LIPA) and negligible moderate-to-vigorous physical activity (MVPA). “Light Movers” were people with PD with values close to the mean for all activity variables. “Steady Movers” spent less time in SB during midday, and more time in LIPA and MVPA throughout the day, compared to the other profiles. “Sedentary” people had poorer balance (P = 0.006), poorer functional mobility (P = 0.027) and were more likely to have fallen previously (P = 0.027), compared to “Light Movers. The Timed Up and Go test, an easily performed clinical test of functional mobility, was the only test that could distinguish between all three profiles. Conclusion Distinct PA profiles, with clear differences in how the time awake is spent exist among people with mild-moderate PD.
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Affiliation(s)
- Philip von Rosen
- Department of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Alfred Nobels Allé 23, 141 83, Huddinge, Sweden.
| | - Maria Hagströmer
- Department of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Alfred Nobels Allé 23, 141 83, Huddinge, Sweden.,Academic Primary Care Center, Region Stockholm, Stockholm, Sweden.,Department of Health Promoting Science, Sophiahemmet University, Stockholm, Sweden
| | - Erika Franzén
- Department of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Alfred Nobels Allé 23, 141 83, Huddinge, Sweden.,Karolinska University Hospital, Medical unit Occupational Therapy & Physiotherapy, Theme Women's Health and Allied Health Professionals, Stockholm, Sweden.,Stockholms Sjukhem Foundation, Reseach and Development Department, Stockholm, Sweden
| | - Breiffni Leavy
- Department of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Alfred Nobels Allé 23, 141 83, Huddinge, Sweden.,Stockholms Sjukhem Foundation, Reseach and Development Department, Stockholm, Sweden
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Braakhuis HEM, Roelofs JMB, Berger MAM, Ribbers GM, Weerdesteyn V, Bussmann JBJ. Intensity of daily physical activity - a key component for improving physical capacity after minor stroke? Disabil Rehabil 2020; 44:3048-3053. [PMID: 33295227 DOI: 10.1080/09638288.2020.1851781] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
PURPOSE Elucidating the complex interactions between physical activity (PA), a multidimensional concept, and physical capacity (PC) may reveal ways to improve rehabilitation interventions. This cross-sectional study aimed to explore which PA dimensions are related to PC in people after minor stroke. MATERIALS AND METHODS Community dwelling individuals >6 months after minor stroke were evaluated with a 10-Meter-Walking-Test (10MWT), Timed-Up & Go, and the Mini Balance Evaluation System Test. The following PA outcomes were measured with an Activ8 accelerometer: counts per minute during walking (CPMwalking; a measure of intensity), number of active bouts (frequency), mean length of active bouts (distribution), and percentage of waking hours in upright positions (duration). Multivariable linear regression models, adjusted for age, sex and BMI, were used to assess the relationships between PC and PA outcomes. RESULTS Sixty-nine participants [62.2 ± 9.8 years, 61% male, 20 months post onset (IQR 13.0-53.5)] were included in the analysis. CPMwalking was significantly associated to PC in the 10MWT (std. ß = 0.409, p = 0.002), whereas other associations between PA and PC were not significant. CONCLUSIONS The PA dimension intensity of walking is significantly associated with PC, and appears to be an important tool for future interventions in rehabilitation after minor stroke.Implications for rehabilitationIt is recommended to express physical activity after minor stroke in multiple dimensions such as intensity, frequency, duration and distribution.In particular, intensity of physical activity measured with accelerometer counts is most closely related to physical capacity.The findings of this study underline the importance of being physically active beyond a certain intensity.In future development of interventions and guidelines that aim to promote daily physical activity, intensity should be taken into account.
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Affiliation(s)
- Hanneke E M Braakhuis
- Department of Rehabilitation Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands.,Rijndam Rehabilitation, Rotterdam, The Netherlands.,Faculty of Health, Nutrition and Sport, The Hague University of Applied Sciences, The Hague, The Netherlands
| | - Jolanda M B Roelofs
- Department of Rehabilitation, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Monique A M Berger
- Faculty of Health, Nutrition and Sport, The Hague University of Applied Sciences, The Hague, The Netherlands
| | - Gerard M Ribbers
- Department of Rehabilitation Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands.,Rijndam Rehabilitation, Rotterdam, The Netherlands
| | - Vivian Weerdesteyn
- Department of Rehabilitation, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.,Sint Maartenskliniek, Nijmegen, The Netherlands
| | - J B J Bussmann
- Department of Rehabilitation Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands.,Rijndam Rehabilitation, Rotterdam, The Netherlands
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Tonetti L, Camilli F, Giovagnoli S, Natale V, Lugaresi A. Circadian Activity Rhythm in Early Relapsing-Remitting Multiple Sclerosis. J Clin Med 2019; 8:jcm8122216. [PMID: 31847439 PMCID: PMC6947264 DOI: 10.3390/jcm8122216] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Revised: 12/09/2019] [Accepted: 12/12/2019] [Indexed: 01/02/2023] Open
Abstract
While relapsing-remitting is the most prevalent course of multiple sclerosis, the prognostic/predictive markers of the worsening of symptomatology are still debated. With reference to other diseases, the study of the circadian activity rhythm, according to the theoretical framework of the two-process model of sleep regulation and applying functional linear modeling, proved to be useful to identify a possible marker. The usefulness of the study of circadian activity rhythm in multiple sclerosis is strengthened by recent findings indicating a potential involvement of circadian factors in the multifactorial etiopathology of the disorder. The aim of the present study was to verify whether circadian activity rhythm of early relapsing-remitting multiple sclerosis patients presents specific alterations, through functional linear modeling. Thirty-five relapsing-remitting multiple sclerosis patients (24 females; mean age ± SD = 31.51 ± 7.74) and 35 healthy controls (24 females; mean age ± SD = 31.29 ± 8.02) were enrolled. They wore an actigraph around the non-dominant wrist for one week. Relapsing-remitting multiple sclerosis patients showed a peak in motor activity around 5:00 a.m., higher than that of healthy controls. The timing of the peak in motor activity in the patients could be explained according to the hyperactive hypothalamus-pituitary-adrenal axis and higher cortisol awakening response reported in these patients.
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Affiliation(s)
- Lorenzo Tonetti
- Department of Psychology, University of Bologna, Viale Berti Pichat 5, 40127 Bologna, Italy; (S.G.); (V.N.)
- Correspondence: ; Tel.: +39-051-2091-878; Fax: +39-051-243-086
| | - Federico Camilli
- Dipartimento di Scienze Biomediche e Neuromotorie, Università di Bologna, Via Altura 3A, 40139 Bologna, Italy; (F.C.); (A.L.)
| | - Sara Giovagnoli
- Department of Psychology, University of Bologna, Viale Berti Pichat 5, 40127 Bologna, Italy; (S.G.); (V.N.)
| | - Vincenzo Natale
- Department of Psychology, University of Bologna, Viale Berti Pichat 5, 40127 Bologna, Italy; (S.G.); (V.N.)
| | - Alessandra Lugaresi
- Dipartimento di Scienze Biomediche e Neuromotorie, Università di Bologna, Via Altura 3A, 40139 Bologna, Italy; (F.C.); (A.L.)
- IRCCS Istituto delle Scienze Neurologiche di Bologna, UOSI Riabilitazione Sclerosi Multipla, Via Altura 3A, 40139 Bologna, Italy
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