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Quantifying arm swing in Parkinson’s disease: a method accounting for arm activities during free-living gait

Post, Erik; Van Laarhoven, Twan; Raykov, Yordan P.; Little, Max A.; Nonnekes, Jorik; Heskes, Tom M.; Bloem, Bastiaan R.; Evers, Luc J. W.

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Authors

Erik Post

Twan Van Laarhoven

Dr YORDAN RAYKOV Yordan.Raykov@nottingham.ac.uk
ASSISTANT PROFESSOR IN DATA SCIENCE/STATISTICS

Max A. Little

Jorik Nonnekes

Tom M. Heskes

Bastiaan R. Bloem

Luc J. W. Evers



Contributors

Abstract

Background
Accurately measuring hypokinetic arm swing during free-living gait in Parkinson’s disease (PD) is challenging due to other concurrent arm activities. We developed a method to isolate gait segments without these arm activities.

Methods
Wrist accelerometer and gyroscope data were collected from 25 individuals with PD and 25 age-matched controls while performing unscripted activities in their home environment. This was done after overnight withdrawal of dopaminergic medication (‘pre-medication’) and approximately one hour after intake (‘post-medication’). Using video annotations as ground truth, we trained and evaluated two classifiers: one for detecting gait and one for detecting gait segments without other arm activities. Based on the filtered gait segments, arm swing was quantified using the median and 95th percentile range of motion (RoM). These arm swing parameters were evaluated in three ways: (1) the agreement between predicted and video-annotated gait segments without other arm activities, (2) the sensitivity to differences between PD and controls, and (3) the sensitivity to the effects of dopaminergic medication.

Results
On the most affected side, the mean (SD) balanced accuracy for detecting gait without other arm activities was 0.84 (0.10) pre-medication and 0.88 (0.09) post-medication. The agreement between arm swing parameters of predicted and video-annotated gait segments without other arm activities was high irrespective of medication state (intra-class correlation coefficients: median RoM: 0.99; 95th percentile RoM: 0.97). Both the median and 95th percentile RoM were smaller in PD pre-medication compared to controls (median:
, 95% CI [
30.63,
10.60], p < 0.001; 95th percentile:
, 95% CI [
38.26,
18.18], p < 0.001), and smaller in pre- compared to post-medication (median:
, 95% CI [
21.35,
5.59], p < 0.001; 95th percentile:
, 95% CI [
28.48,
11.14], p < 0.001). The differences in RoM between pre- and post-medication were larger after filtering gait for the median (p < 0.01) and 95th percentile RoM (p = 0.01).

Conclusions
Filtering out gait segments with other concurrent arm activities is feasible and increases the change in arm swing parameters following dopaminergic medication in free-living conditions. This approach may be used to monitor treatment effect and disease progression in daily life.

Citation

Post, E., Van Laarhoven, T., Raykov, Y. P., Little, M. A., Nonnekes, J., Heskes, T. M., Bloem, B. R., & Evers, L. J. W. (2025). Quantifying arm swing in Parkinson’s disease: a method accounting for arm activities during free-living gait. Journal of NeuroEngineering and Rehabilitation, 22(1), Article 37. https://doi.org/10.1186/s12984-025-01578-z

Journal Article Type Article
Acceptance Date Feb 14, 2025
Online Publication Date Feb 26, 2025
Publication Date Feb 26, 2025
Deposit Date Feb 10, 2025
Publicly Available Date Feb 28, 2025
Journal Journal of NeuroEngineering and Rehabilitation
Print ISSN 1743-0003
Electronic ISSN 1743-0003
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 22
Issue 1
Article Number 37
DOI https://doi.org/10.1186/s12984-025-01578-z
Keywords Parkinson’s disease; Gait; Arm swing; Hypokinesia; Wearables; Wrist-worn sensors; Digital biomarkers
Public URL https://nottingham-repository.worktribe.com/output/45305213
Publisher URL https://jneuroengrehab.biomedcentral.com/articles/10.1186/s12984-025-01578-z
Additional Information Received: 27 December 2024; Accepted: 14 February 2025; First Online: 26 February 2025; : ; : The Parkinson@Home Validation study was approved by the local medical ethics committee (Commissie Mensgebonden Onderzoek, region Arnhem-Nijmegen, file number 2016-1776). All participants received verbal and written information about the study protocol and signed a consent form prior to participation, in line with the Declaration of Helsinki. Written consent was obtained from all participants for participation and publication.; : The authors declare no competing interests.

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