A Novel Signals and Features Fusion Method Based on Fisher Vector for Severity Assessment in Parkinson's Disease
Author:
Affiliation:
1. College of Artificial Intelligence, Nankai University,Tianjin,China,300350
2. Tianjin Huanhu Hospital,Department of Rehabilitation Medicine,Tianjin,China,300350
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10218726/10218397/10218399.pdf?arnumber=10218399
Reference27 articles.
1. Abnormal Muscle Activity and Variability Before, During, and After the Occurrence of Freezing in Parkinson's Disease
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3. Muscular activation changes in lower limbs after underwater gait training in Parkinson’s disease: A surface emg pilot study
4. Asymmetric Cooperation Control of Dual-Arm Exoskeletons Using Human Collaborative Manipulation Models
5. A hybrid spatio-temporal model for detection and severity rating of Parkinson’s disease from gait data
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