A Novel Approach to Monitor Rehabilitation Outcomes in Stroke Survivors Using Wearable Technology-Reference-Cited by-同舟云学术

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A Novel Approach to Monitor Rehabilitation Outcomes in Stroke Survivors Using Wearable Technology

Published:2010-03 Issue:3 Volume:98 Page:450-461
ISSN:0018-9219
Container-title:Proceedings of the IEEE
language:
Short-container-title:Proc. IEEE

Author:

Patel Shyamal,Hughes Richard,Hester Todd,Stein Joel,Akay Metin,Dy Jennifer G.,Bonato Paolo

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx5/5/5424188/05420034.pdf?arnumber=5420034

Cited by 117 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Novel Digital Assessment System for Upper-Limb Movement in Stroke Patients Using Markless-Sensing Technology and Deep Learning Algorithms;Journal of Shanghai Jiaotong University (Science);2024-07-24

2. Classification of Shoulder Rehabilitation Exercises by Using Wearable Systems and Machine Learning Algorithms;IEEE Sensors Journal;2024-07-15

3. Quantitative Upper Limb Impairment Assessment for Stroke Rehabilitation: A Review;IEEE Sensors Journal;2024-03-15

4. A novel scoring approach for the Wolf Motor Function Test in stroke survivors using motion-sensing technology and machine learning: A preliminary study;Computer Methods and Programs in Biomedicine;2024-01

5. A Survey of Wearable Sensors and Machine Learning Algorithms for Automated Stroke Rehabilitation;IEEE Access;2024

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