Wearable inertial device for monitoring Parkinson’s disease symptoms: a pilot study in a controlled environment

Clinical assessments for Parkinson's disease depend on clinician-administered scales, which have limitations in sensitivity and real-world applicability. Wearable inertial sensors offer a promising approach for objective and continuous monitoring of PD motor symptoms. This study aimed to evaluate the feasibility and accuracy of a magneto-inertial wearable device in detecting key PD motor manifestations-tremor, akinesia, and dyskinesia-on an individual movement basis. Ten PD patients undergoing pre-surgical evaluation for deep brain stimulation were included in a pilot multicentric study. Participants performed a Levodopa challenge test while wearing an inertial measurement unit on the most affected wrist and ankle. MDS-UPDRS Part III and video recordings were obtained to compare sensor performance to expert evaluations. Algorithms analyzed acceleration and angular velocity data to detect tremor, akinesia and dyskinesia. The sensor demonstrated high sensitivity (100%) and specificity (≥ 93%) for tremor and akinesia detection, with an overall accuracy exceeding 94%. Performance metrics were less promising for dyskinesia detection. Levodopa significantly reduced tremor (p = 0.0247) and increased dyskinesia (p = 0.0169), confirming sensor responsiveness to pharmacological effects. Magneto-inertial wearable device showed promising accuracy for the objective assessment of PD motor symptoms in a controlled environment. These findings support further validation in real-life conditions.

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Publication Details

Journal
Scientific Reports
Published
2025-11-27
DOI
https://doi.org/10.1038/s41598-025-28927-1
Primary Topic
Neurological disorders and treatments
Type
article
Field-Weighted Citation Impact
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article

Wearable inertial device for monitoring Parkinson’s disease symptoms: a pilot study in a controlled environment

Stéphanie Delstanche, Jean‐Marc Gurruchaga, Bertrand Degos, Teresa Gidaro et al.
Scientific Reports
Neurological disorders and treatments
article

Wearable inertial device for monitoring Parkinson’s disease symptoms: a pilot study in a controlled environment

Stéphanie Delstanche, Jean‐Marc Gurruchaga, Bertrand Degos, Teresa Gidaro, Margaux Poleur, Léopold Bancel, A Tricot, Stéphane Palfi
article en

Abstract

Clinical assessments for Parkinson's disease depend on clinician-administered scales, which have limitations in sensitivity and real-world applicability. Wearable inertial sensors offer a promising approach for objective and continuous monitoring of PD motor symptoms. This study aimed to evaluate the feasibility and accuracy of a magneto-inertial wearable device in detecting key PD motor manifestations-tremor, akinesia, and dyskinesia-on an individual movement basis. Ten PD patients undergoing pre-surgical evaluation for deep brain stimulation were included in a pilot multicentric study. Participants performed a Levodopa challenge test while wearing an inertial measurement unit on the most affected wrist and ankle. MDS-UPDRS Part III and video recordings were obtained to compare sensor performance to expert evaluations. Algorithms analyzed acceleration and angular velocity data to detect tremor, akinesia and dyskinesia. The sensor demonstrated high sensitivity (100%) and specificity (≥ 93%) for tremor and akinesia detection, with an overall accuracy exceeding 94%. Performance metrics were less promising for dyskinesia detection. Levodopa significantly reduced tremor (p = 0.0247) and increased dyskinesia (p = 0.0169), confirming sensor responsiveness to pharmacological effects. Magneto-inertial wearable device showed promising accuracy for the objective assessment of PD motor symptoms in a controlled environment. These findings support further validation in real-life conditions.

Scientific ReportsVol. 15(1)
Centre National de la Recherche Scientifique (FR), Inserm (FR), Université Paris-Est Créteil (FR), University of Oxford (GB), Université Sorbonne Paris Nord (FR), Assistance Publique – Hôpitaux de Paris (FR), Sysnav (France) (FR), Centre Interdisciplinaire de Recherche en Biologie (FR), Institut de Myologie (FR), Hôpitaux Universitaires Paris-Ouest (FR), Centre hospitalier régional de la Citadelle (BE), Institut Mondor de Recherche Biomédicale (FR)
Openalex Percentile: Top 49%
Neurological disorders and treatments
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