title: [Design of Rehabilitation Training System with Electromyography Feedback for Stroke Patients].
abstract: This paper proposed a rehabilitation training system with electromyography (sEMG) feedback for stroke patients based on ARM embedded system and LabVIEW. The system can achieve real-time acquisition, processing and dualview of multi-channel sEMGs and compute related sEMG parameters including iEMG, RMS, MPF and co-contraction ratio. The system was detected by clinical experiments and related inspection department. The result showed that the system is functional, interactive and in accordance with the relevant standards for medical devices so that it can fully satisfy the clinical demands. In addition, the system can help doctors to master the training state of the patient more effectively in a real-time and quantitative way that is direct to improve the training programs of stroke patients.
authors.forename: Chenxu
authors.initials: C
authors.lastname: Yu
authors.forename: Zheng
authors.initials: Z
authors.lastname: Wang
authors.forename: Zhengang
authors.initials: Z
authors.lastname: Yu
authors.forename: Jiaying
authors.initials: J
authors.lastname: Guo
authors.forename: Wenru
authors.initials: W
authors.lastname: Zhao
authors.forename: Haihong
authors.initials: H
authors.lastname: Zhao
authors.forename: Haijun
authors.initials: H
authors.lastname: Niu
authors.forename: Yubo
authors.initials: Y
authors.lastname: Fan
mesh_terms: D004576:Electromyography; D006801:Humans; D058765:Neurofeedback; D000071939:Stroke Rehabilitation