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Hip, knee and ankle motion angle detection based on inertial sensor

Authors :
Li Weiguang
Sun Tongyang
Chen Haoqiu
Meng Li
Lu Zhixiang
Zhengzhi Wu
Hou Anxin
Lihong Duan
Yajing Shen
Lu Zhijiang
Quanquan Liu
Qihong Liu
Wei Chengdong
Chunbao Wang
Chen Pengfang
Source :
ICIA
Publication Year :
2016
Publisher :
IEEE, 2016.

Abstract

Up to now, with the increasing of the elderly population, more and more patients are suffering from hemiplegia. The need for hemiplegic rehabilitation is increasing quickly. As traditional rehabilitation, each patient must be treated by therapist, one by one. However, because of the different levels of therapists, the rehabilitation cannot be performed as the as the same. Normally, the rehabilitation status diagnosing is still be performed by therapists with the subjective experience. It caused the inhomogeneity on rehabilitation evaluation. It also sometimes causes negative influence on the rehabilitation effect. To solve these problems, many researches focusing on assessing the status of the hemiplegic patients quantitatively are proposed rehabilitation evaluation systems. Rehabilitation motion detection is the basis of the evaluation system, and it requires the participation of therapist. In this paper, a method is presented to detect lower limb motion of hemiplegic patients based on inertial sensor technology. The gesture quaternion of lower limb can be obtained through LPMS. With the matrix and Euler angle changing algorithm, combining with the simplified lower limb motion model, the rotation angle of joint can be computed. Finally, the curve of rotation angle of knee is established.1

Details

Database :
OpenAIRE
Journal :
2016 IEEE International Conference on Information and Automation (ICIA)
Accession number :
edsair.doi...........7b0a527f30bc7d8f7e064b4ba18e0235