Feature subset evaluation method for upper limb rehabilitation training based on joint feature discernibility
A feature subset discernibility hybrid evaluation method using Fisher score based on joint feature and support vector machine is proposed for the feature selection problem of the upper limb rehabilitation training motion of Brunnstrom 4–5 stage patients. In this method, the joint feature is introduc...
Saved in:
Main Authors: | Guoyu Zuo, Zhaokun Xu, Jiahao Lu, Daoxiong Gong |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2019-03-01
|
Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1177/1550147719838467 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Design and Analysis of Upper Limb Rehabilitation Robots with Fully-actuated Shoulder Joints
by: Wang Zhanli, et al.
Published: (2022-10-01) -
Effect of Rehabilitation Robot Combined with Upper Limb Rehabilitation Training on Hemiplegic Patients in Recovery Stage of Stroke
by: LI Yuqi, et al.
Published: (2022-04-01) -
A Systematic Review of Bilateral Upper Limb Training Devices for Poststroke Rehabilitation
by: A. (Lex) E. Q. van Delden, et al.
Published: (2012-01-01) -
Analysis and Optimization on Transmission Accuracy of Shoulder Joint Reducer for an Upper Limb Rehabilitation Robot
by: Zou Shuaidong, et al.
Published: (2024-07-01) -
Clinical Features on Sensory Dysfunction of Upper Limbs of Patients with Unilateral Stroke
by: SHAO Peng, et al.
Published: (2022-12-01)