Gait classification of stroke survivors - An analytical study
Author:
Affiliation:
1. Department of Instrumentation Engineering, Government Polytechnic, Kota, Kota, Rajasthan, India
2. Department of Electronics Engineering, University College of Engineering, Kota, Kota, Rajasthan, India
Publisher
Taru Publications
Subject
Applied Mathematics,Analysis
Link
https://www.tandfonline.com/doi/pdf/10.1080/09720502.2021.2006332
Reference33 articles.
1. What is Stroke? The National Heart, Lung, and Blood Institute (NHLBI), www.nhlbi.nih.gov.
2. Validity of the gait variability index for individuals after a stroke in a chronic stage of recovery
3. Assessment of test-retest reliability and internal consistency of the Wisconsin Gait Scale in hemiparetic post-stroke patients
4. A machine learning approach for automated recognition of movement patterns using basic, kinetic and kinematic gait data
5. Mannini, A., et al., A Machine Learning Framework for Gait Classification Using Inertial Sensors: Application to Elderly, Post-Stroke and Huntington’s Disease Patients. Sensors (Basel), 2016. 16(1).
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