Hierarchical projected regression for torque of elbow joint using EMG signals
文献类型:会议论文
作者 | Chen Y(陈洋); Ding QC(丁其川)![]() ![]() ![]() |
出版日期 | 2011 |
会议名称 | 5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011 |
会议日期 | May 10-12, 2011 |
会议地点 | Wuhan, China |
关键词 | Bioinformatics Biomedical engineering Clustering algorithms Discriminant analysis Muscle Regression analysis Signal processing |
中文摘要 | Predicting Torque by using Electromyography (EMG) signals is a significant problem as long as wearable robots is concerned. In this paper, a coarse-to-fine algorithm, named as Hierarchical Projected Regression, is proposed to estimate the torque of elbow by the surface EMG signals from human's arm. HPR is learned based on a clinical dataset. First, the real torque distribution can be clustered by k-means algorithm. Meanwhile, the EMG signals are divided into multi-clusters corresponding to the partitions of torque dataset. Then, a projected matrix is derived based on the criterion of Linear Discriminant Analysis, by which the low dimensional features are extracted from the original high dimensional EMG. Finally, the process extends to multi-level tree algorithm based on the hierarchical variance reduction of individual torque cluster. The experimental results show the high accuracy and efficiency of this novel method. |
收录类别 | EI |
产权排序 | 1 |
会议主办者 | IEEE Engineering in Medicine and Biology Society; Wuhan University; Fuzhou University; Nankai University; Overs. Chin. Sch. Environ. Prot. Assoc. (OCSEPA) |
会议录 | 5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011
![]() |
会议录出版者 | IEEE Computer Society |
会议录出版地 | Piscataway, NJ |
语种 | 英语 |
ISBN号 | 978-1-4244-5089-3 |
源URL | [http://ir.sia.cn/handle/173321/8730] ![]() |
专题 | 沈阳自动化研究所_机器人学研究室 |
推荐引用方式 GB/T 7714 | Chen Y,Ding QC,Zhao XG,et al. Hierarchical projected regression for torque of elbow joint using EMG signals[C]. 见:5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011. Wuhan, China. May 10-12, 2011. |
入库方式: OAI收割
来源:沈阳自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。