Preprint Article Version 1 This version is not peer-reviewed

Assessing Changes in Motor Function and Mobility in Individuals with Parkinson’s Disease After 12 Sessions of Patient-Specific Adaptive Dynamic Cycling

Version 1 : Received: 16 October 2024 / Approved: 17 October 2024 / Online: 18 October 2024 (08:03:29 CEST)

How to cite: Kim, Y.; Smith, B.; Shigo, L.; Shaikh, A.; Loparo, K.; Ridgel, A. Assessing Changes in Motor Function and Mobility in Individuals with Parkinson’s Disease After 12 Sessions of Patient-Specific Adaptive Dynamic Cycling. Preprints 2024, 2024101380. https://doi.org/10.20944/preprints202410.1380.v1 Kim, Y.; Smith, B.; Shigo, L.; Shaikh, A.; Loparo, K.; Ridgel, A. Assessing Changes in Motor Function and Mobility in Individuals with Parkinson’s Disease After 12 Sessions of Patient-Specific Adaptive Dynamic Cycling. Preprints 2024, 2024101380. https://doi.org/10.20944/preprints202410.1380.v1

Abstract

Background and Purpose: This pilot randomized controlled trial evaluated the effects of 12 sessions of patient-specific adaptive dynamic cycling (PSADC) versus non-adaptive cycling (NA) on motor function and mobility in individuals with Parkinson’s disease (PD), using IMU sensors for objective assessment. Methods: Twenty-three participants with PD (13 in the PSADC group and 10 in the NA group) completed the study over a 4-week period. Motor function was measured using the Kinesia™ sensors and the MDS-UPDRS Motor III, while mobility was assessed with the TUG test using OPAL IMU sensors. Results: The PSADC group showed significant improvements in MDS-UPDRS Motor III scores (t = 5.165, p < 0.001) and dopamine-sensitive symptoms (t = 4.629, p = 0.001), whereas the NA group did not improve. Both groups showed non-significant improvements in TUG time. IMU sensors provided continuous, quantitative, and unbiased measurements of motor function and mobility, offering a more accurate tracking of improvements over time. Conclusion: PSADC demonstrated enhanced treatment effects on PD motor function compared to NA, while also reducing variability in individual responses. The integration of IMU sensors was essential for precise monitoring, supporting the feasibility of a data-driven, individualized exercise approach to optimize treatment outcomes for individuals with PD.

Keywords

wearable technology; neurorehabilitation; motor control; movement disorders

Subject

Medicine and Pharmacology, Neuroscience and Neurology

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