An OCSVM Based Assessment Method for Robotic Rehabilitation
文献类型：会议论文
| 作者 | Zhong X(钟旭)3,4; Meng FG(孟凡刚)1,4; Zhang B(张弼)2,4; Yao J(姚杰)2,4 ; Fan XL(范晓亮)2,4; Zhao XG(赵新刚)2,4
|
| 出版日期 | 2021 |
| 会议日期 | October 22-24, 2021 |
| 会议地点 | Beijing, China |
| 关键词 | Abnormal detection OCSVM Rehabilitation assessment Variable grade rehabilitation |
| 页码 | 5777-5782 |
| 英文摘要 | The automatic assessment of rehabilitation level is an important part of the automatic rehabilitation training system. In order to carry out an accurate rehabilitation grade assessment for patients with ankle dyskinesia, this paper proposes a grade-variable rehabilitation assessment strategy. Firstly, the plantar pressure insoles are used to collect normal people's plantar pressure data samples as training set of the model and a decision boundary is obtained through the One-Class Support Vector Machine (OCSVM) model for the detection of abnormal data. Then, the patient's plantar pressure data is used as a test set to output the abnormal degree of the current ankle dyskinesia. The abnormal degree is introduced into the control process of the ankle rehabilitation robot, corresponding to realize the rehabilitation strategy of variable grades. Experiments verify that the model established in this paper is a concise, staged and graded periodical rehabilitation assessment method. |
| 产权排序 | 1 |
| 会议录 | Proceeding - 2021 China Automation Congress, CAC 2021
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-6654-2647-3 |
| 源URL | [http://ir.sia.cn/handle/173321/30800]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 通讯作者 | Zhong X(钟旭) |
| 作者单位 | 1.Industrial and Commercial Bank of China, Jinan 273300, China 2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China 3.School of Intelligent Medicine, China-Medical University, Shenyang 110122, China 4.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 | Zhong X,Meng FG,Zhang B,et al. An OCSVM Based Assessment Method for Robotic Rehabilitation[C]. 见:. Beijing, China. October 22-24, 2021. |
入库方式： OAI收割
来源：沈阳自动化研究所
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