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

被引:6
|
作者
Salaorni, Francesca [1 ]
Bonardi, Giulia [1 ]
Schena, Federico [1 ]
Tinazzi, Michele [1 ]
Gandolfi, Marialuisa [1 ,2 ,3 ]
机构
[1] Univ Verona, Dept Neurosci Biomed & Movement Sci, Ple LA Scuro10, I-37134 Verona, Italy
[2] Univ Verona, Neuromotor & Cognit Rehabil Res Ctr CRRNC, Verona, Italy
[3] Azienda Osped Univ Integrata, Neurorehabil Unit, Verona, Italy
关键词
Wearable electronic devices; neurodegenerative diseases; gait; functional movement disorder; telemedicine; telerehabilitation; accidental falls; quality of life; FUNCTIONAL MOTOR DISORDERS; PARKINSONS-DISEASE; BALANCE; METAANALYSIS; INSTABILITY; IMPACT;
D O I
10.1080/17434440.2023.2298342
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
IntroductionWearable 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.MethodsFor 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.ResultsAll 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.ConclusionsWearable 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.PROSPERO REGISTRATIONCRD42022355460
引用
收藏
页码:121 / 140
页数:20
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