An IoT-Enabled Stroke Rehabilitation System Based on Smart Wearable Armband and Machine Learning

An IoT-Enabled Stroke Rehabilitation System Based on Smart Wearable Armband and Machine Learning

Surface electromyography signal plays an important role in hand function recovery training. In this paper, an IoT-enabled stroke rehabilitation system was introduced which was based on a smart wearable armband (SWA), machine learning (ML) algorithms, and a 3-D printed dexterous robot hand. User comf...

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Bibliographic Details
Main Authors: Geng Yang, Jia Deng, Gaoyang Pang, Hao Zhang, Jiayi Li, Bin Deng, Zhibo Pang, Juan Xu, Mingzhe Jiang, Pasi Liljeberg, Haibo Xie, Huayong Yang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Journal of Translational Engineering in Health and Medicine
Subjects:
sEMG control
stroke rehabilitation
IoT-enabled wearable device
machine learning
Online Access:https://ieeexplore.ieee.org/document/8356006/

Internet

https://ieeexplore.ieee.org/document/8356006/

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