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

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第一作者： Geng,Yang

第一单位： State Key Laboratory of Fluid Power and Mechatronic Systems, College of Mechanical EngineeringZhejiang UniversityHangzhou310058China.

作者： Geng,Yang ^[1] ; Jia,Deng ^[1] ; Gaoyang,Pang ^[1] ; Hao,Zhang ^[1] ; Jiayi,Li ^[1] ; Bin,Deng ^[1] ; Zhibo,Pang ^[2] ; Juan,Xu ^[3] ; Mingzhe,Jiang ^[4] ; Pasi,Liljeberg ^[4] ; Haibo,Xie ^[1] ; Huayong,Yang ^[1]

作者单位： State Key Laboratory of Fluid Power and Mechatronic Systems, College of Mechanical EngineeringZhejiang UniversityHangzhou310058China. ^[1] ABB Corporate Research721 78VästeråsSweden. ^[2] Department of GeriatricsThe 117th hospital of PLAHangzhou310013China. ^[3] Department of Future TechnologiesUniversity of Turku20500TurkuFinland. ^[4]

关键词 IoT-enabled wearable device machine learning sEMG control stroke rehabilitation

DOI 10.1109/JTEHM.2018.2822681

PMID 29805919

发布时间 2020-09-30

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IEEE journal of translational engineering in health and medicine

2018年6卷

2100510页

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

IEEE journal of translational engineering in health and medicine

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IEEE journal of translational engineering in health and medicine

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

IEEE journal of translational engineering in health and medicine

相似文献

IEEE journal of translational engineering in health and medicine

相关期刊

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