Test and Validation of a Smart Exercise Bike for Motor Rehabilitation in Individuals With Parkinson's Disease

Healthy Communities Research Institute, Exercise Science and Exercise Physiology
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  3. Test and Validation of a Smart Exercise Bike for Motor Rehabilitation in Individuals With Parkinson's Disease
Author(s)
Abstract
To assess and validate the Smart Exercise Bike designed for Parkinson's Disease (PD) rehabilitation, 47 individuals with PD were randomly assigned to either the static or dynamic cycling group, and completed three sessions of exercise. Heart rate, cadence and power data were captured and recorded for each patient during exercise. Motor function for each subject was assessed with the UPDRS Motor III test before and after the three exercise sessions to evaluate the effect of exercise on functional abilities. Individuals who completed three sessions of dynamic cycling showed an average of 13.8% improvement in the UPDRS, while individuals in the static cycling group worsened by 1.6% in UPDRS. To distinguish the static and dynamic cycling groups by biomechanical and physiological features, the complexity of the recorded signals (cadence, power, and heart rate) was examined using approximate entropy (ApEn), sample entropy (SaEn) and spectral entropy (SpEn) as measures of variability. A multiple linear regression (MLR) model was used to relate these features to changes in motor function as measured by the UPDRS Motor III scale. Pattern variability in cadence was greater in the dynamic group when compared to the static group. In contrast, variability in power was greater for the static group. UPDRS Motor III scores predicted from the pattern variability data were correlated to measured scores in both groups. These results support our previous study which explained how variability analysis results for biomechanical and physiological parameters of exercise can be used to predict improvements in motor function.
Format
Article
Identifier(s)
10.1109/TNSRE.2016.2549030
Publication Date
2016-11
Publication Title
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Publisher
IEEE
Volume
24
Issue
11
First Page
1254
Last Page
1264
Keywords
Subject
Rights
http://rightsstatements.org/vocab/InC/1.0/
Community
Healthy Communities Research Institute
Exercise Science and Exercise Physiology
Permalink https://oaks.kent.edu/hcri/test-and-validation-smart-exercise-bike-motor-rehabilitation-individuals-parkinsons-disease
Mohammadi-Abdar, H., Ridgel, A., Discenzo, F., Phillips, R., Walter, B., & Loparo, K. (2016). Test and Validation of a Smart Exercise Bike for Motor Rehabilitation in Individuals With Parkinson’s Disease (1–). IEEE Transactions on Neural Systems and Rehabilitation Engineering. https://doi.org/10.1109/TNSRE.2016.2549030
Mohammadi-Abdar, Hassan, Angela Ridgel, Fred Discenzo, Robert Phillips, Benjamin Walter, and Kenneth Loparo. 2016. “Test and Validation of a Smart Exercise Bike for Motor Rehabilitation in Individuals With Parkinson’s Disease”. IEEE Transactions on Neural Systems and Rehabilitation Engineering. https://doi.org/10.1109/TNSRE.2016.2549030.
Mohammadi-Abdar, Hassan, et al. Test and Validation of a Smart Exercise Bike for Motor Rehabilitation in Individuals With Parkinson’s Disease. IEEE Transactions on Neural Systems and Rehabilitation Engineering, Nov. 2016, https://doi.org/10.1109/TNSRE.2016.2549030.