Wearables in the home-based assessment of abnormal movements in Parkinson’s disease: a systematic review of the literature

At present, the standard practices for home-based assessments of abnormal movements in Parkinson’s disease (PD) are based either on subjective tools or on objective measures that often fail to capture day-to-day fluctuations and long-term information in real-life conditions in a way that patient’s c...

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Bibliographic Details
Published in:Journal of neurology Vol. 269; no. 1; pp. 100 - 110
Main Authors: Ancona, Stefania, Faraci, Francesca D., Khatab, Elina, Fiorillo, Luigi, Gnarra, Oriella, Nef, Tobias, Bassetti, Claudio L. A., Bargiotas, Panagiotis
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer Berlin Heidelberg 01-01-2022
Springer Nature B.V
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Summary:At present, the standard practices for home-based assessments of abnormal movements in Parkinson’s disease (PD) are based either on subjective tools or on objective measures that often fail to capture day-to-day fluctuations and long-term information in real-life conditions in a way that patient’s compliance and privacy are secured. The employment of wearable technologies in PD represents a great paradigm shift in healthcare remote diagnostics and therapeutics monitoring. However, their applicability in everyday clinical practice seems to be still limited. We carried out a systematic search across the Medline Database. In total, 246 publications, published until 1 June 2020, were identified. Among them, 26 reports met the inclusion criteria and were included in the present review. We focused more on clinically relevant aspects of wearables’ application including feasibility and efficacy of the assessment, the number, type and body position of the wearable devices, type of PD motor symptom, environment and duration of assessments and validation methodology. The aim of this review is to provide a systematic overview of the current knowledge and state-of-the-art of the home-based assessment of motor symptoms and fluctuations in PD patients using wearable technology, highlighting current problems and laying foundations for future works.
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ISSN:0340-5354
1432-1459
DOI:10.1007/s00415-020-10350-3