Affiliation:
1. School of Life Science and Technology Changchun University of Science and Technology Changchun 130022 P. R. China
2. Department of Bioengineering University of California, Los Angeles Los Angeles CA 90095 USA
3. Department of Materials Science and Engineering National University of Singapore Singapore 117583 Singapore
4. Department of Electrical and Computer Engineering National University of Singapore Singapore 117583 Singapore
5. Department of Electrical and Computer Engineering University of British Columbia Vancouver BC V6T1Z4 Canada
6. China–Japan Union Hospital of Jilin University Changchun 130033 P. R. China
Abstract
AbstractHand dysfunctions in Parkinson's disease include rigidity, muscle weakness, and tremor, which can severely affect the patient's daily life. Herein, a multimodal sensor glove is developed for quantifying the severity of Parkinson's disease symptoms in patients’ hands while assessing the hands’ multifunctionality. Toward signal processing, various algorithms are used to quantify and analyze each signal: Exponentially Weighted Average algorithm and Kalman filter are used to filter out noise, normalization to process bending signals, K‐Means Cluster Analysis to classify muscle strength grades, and Back Propagation Neural Network to identify and classify tremor signals with an accuracy of 95.83%. Given the compelling features, the flexibility, muscle strength, and stability assessed by the glove and the clinical observations are proved to be highly consistent with Kappa values of 0.833, 0.867, and 0.937, respectively. The intraclass correlation coefficients obtained by reliability evaluation experiments for the three assessments are greater than 0.9, indicating that the system is reliable. The glove can be applied to assist in formulating targeted rehabilitation treatments and improve hand recovery efficiency.
Subject
General Physics and Astronomy,General Engineering,Biochemistry, Genetics and Molecular Biology (miscellaneous),General Materials Science,General Chemical Engineering,Medicine (miscellaneous)
Cited by
7 articles.
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