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Wearable devices for gait and posture monitoring via telemedicine in people with movement disorders and multiple sclerosis: a systematic review.

Authors :
Salaorni, Francesca
Bonardi, Giulia
Schena, Federico
Tinazzi, Michele
Gandolfi, Marialuisa
Source :
Expert Review of Medical Devices; Jan/Feb2024, Vol. 21 Issue 1/2, p121-140, 20p
Publication Year :
2024

Abstract

Wearable devices and telemedicine are increasingly used to track health-related parameters across patient populations. Since gait and postural control deficits contribute to mobility deficits in persons with movement disorders and multiple sclerosis, we thought it interesting to evaluate devices in telemedicine for gait and posture monitoring in such patients. For this systematic review, we searched the electronic databases MEDLINE (PubMed), SCOPUS, Cochrane Library, and SPORTDiscus. Of the 452 records retrieved, 12 met the inclusion/exclusion criteria. Data about (1) study characteristics and clinical aspects, (2) technical, and (3) telemonitoring and teleconsulting were retrieved, The studies were quality assessed. All studies involved patients with Parkinson's disease; most used triaxial accelerometers for general assessment (n = 4), assessment of motor fluctuation (n = 3), falls (n = 2), and turning (n = 3). Sensor placement and count varied widely across studies. Nine used lab-validated algorithms for data analysis. Only one discussed synchronous patient feedback and asynchronous teleconsultation. Wearable devices enable real-world patient monitoring and suggest biomarkers for symptoms and behaviors related to underlying gait disorders. thus enriching clinical assessment and personalized treatment plans. As digital healthcare evolves, further research is needed to enhance device accuracy, assess user acceptability, and integrate these tools into telemedicine infrastructure. CRD42022355460 [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17434440
Volume :
21
Issue :
1/2
Database :
Complementary Index
Journal :
Expert Review of Medical Devices
Publication Type :
Academic Journal
Accession number :
175233439
Full Text :
https://doi.org/10.1080/17434440.2023.2298342