Exploring the Feasibility of Computer Vision for Detecting Post-Stroke Compensatory Movements-Reference-Cited by-同舟云学术

Exploring the Feasibility of Computer Vision for Detecting Post-Stroke Compensatory Movements

Published:2023-09-24 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Rehabilitation Robotics (ICORR)
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Author:

Lin Hao-Ping¹,Zhao Lina²,Woolley Daniel³,Zhang Xue³,Cheng Hsiao-ju¹,Liang Weidi²,Kuah Christopher⁴,Plunkett Tegan⁴,Chua Karen⁴,Zhang Lixin²,Wenderoth Nicole³

Affiliation:

1. The Singapore-ETH Centre,Future Health Technologies Programme, CREATE campus,Singapore,138602

2. Shengjing Hospital of China Medical University,The Department of Rehabilitation,Shenyang,Liaoning,China,110134

3. ETH Zurich,Neural Control of Movement Laboratory,Department of Health Sciences and Technology,Zurich,Switzerland,8005

4. Centre for Advanced Rehabilitation Therapeutics, Tan Tock Seng Hospital Rehabilitation Centre,Singapore,569766

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10304677/10304678/10304697.pdf?arnumber=10304697

Reference25 articles.

1. Compensatory arm reaching strategies after stroke: Induced position analysis

2. Compensatory strategies for reaching in stroke

3. A Machine-Learning Model for Automatic Detection of Movement Compensations in Stroke Patients

4. Detecting compensatory movements of stroke survivors using pressure distribution data and machine learning algorithms

5. Motor compensation and its effects on neural reorganization after stroke

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