A sEMG-based Hand Function Rehabilitation System for Stroke Patients
文献类型：会议论文
| 作者 | Zhao M(赵明) ; Ma LL(马乐乐); Zhao XG(赵新刚); Li ZY(李自由); Xu Z(徐壮)
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| 出版日期 | 2018 |
| 会议日期 | July 18-20, 2018 |
| 会议地点 | Singapore, Singapore |
| 关键词 | sEMG stroke rehabilitation strategy machine learning |
| 页码 | 497-502 |
| 英文摘要 | In hospital, most stroke patients' rehabilitation training is assisted by rehabilitation physicians. However, this rehabilitation way is expensive and the number of physician cannot meet the demand. Therefore, surface electromyography (sEMG) and machine learning algorithms are introduced into the rehabilitation system, which can reduce the work of physicians and meet the needs of patients. We collect the sEMG signals of patients by picture guidance. Due to the mislabeling caused by the time mismatch, we re-calibrated the labels by means of peak detection. A model fusion algorithm, called stacking, is leveraged to improve the accuracy and robustness of hand action recognition. Before training, we will assess the patient's condition. Different rehabilitation training strategies will be adopted to patients under different conditions so as to each patient can receive effective training. According to rehabilitation psychology, virtual reality games were introduced to enhance the interest and pleasure of patients in the training process. At the same time, it can stimulate the development of nerve in the motor system and enhance the activity of the motor cortex in the cerebral cortex. |
| 源文献作者 | Gaitech Robotics ; IEEE RAS Technical Committee on Neuro-Robotics Systems ; IEEE SMC Technical Committee on Bio-Mechatronics and Bio-Robotics Systems ; IEEE/CAA Journal of Automatica Sinica ; Sunrise Instruments |
| 产权排序 | 1 |
| 会议录 | ICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics
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| 会议录出版者 | IEEE Computer Society |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-5386-7066-8 |
| WOS记录号 | WOS:000458327200086 |
| 源URL | [http://ir.sia.cn/handle/173321/24162]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 通讯作者 | Zhao XG(赵新刚) |
| 作者单位 | State Key Laboratory of Robotics, Shenyang Institute of Automation Chinese Academy of Sciences, Shenyang 110016, China |
| 推荐引用方式 GB/T 7714 | Zhao M,Ma LL,Zhao XG,et al. A sEMG-based Hand Function Rehabilitation System for Stroke Patients[C]. 见:. Singapore, Singapore. July 18-20, 2018. |
入库方式： OAI收割
来源：沈阳自动化研究所
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