CASIA OpenIR  > 多模态人工智能系统全国重点实验室  > 医疗机器人
A Hip-Knee Joint Coordination Evaluation System in Hemiplegic Individuals Based on Cyclogram Analysis
Ningcun Xu1; Chen Wang2; Liang Peng2; Jingyao Chen1; Zhi Cheng1; Zeng-Guang Hou1,2; Pu Zhang3; Zejia He3
2023
Conference NameInternational Conference on Neural Information Processing (ICONIP)
Conference Date20-23 November
Conference PlaceChangsha, China
Abstract

Inter-joint coordination analysis can provide deep insights into assessing patients’ walking ability. This paper developed a hip-knee joint coordination assessment system. Firstly, we introduced a hip-knee joint cyclogram generation model that takes into account walking speed. This model serves as a reference template for identifying abnormal patterns in the hip-knee joints when walking at different speeds. Secondly, we developed a portable motion capture platform based on stereovision technology. It uses near-infrared cameras and markers to accurately capture kinematic data of the human lower limb. Thirdly, we designed a hip-knee joint coordination assessment metric DTW-ED (Dynamic Time Wrapping - Euclidean Distance), which can score the subject’s hip-knee joint coordination. Experimental results indicate that the hip-knee joint cyclogram generation model has an error range of [0.78∘, 1.08∘]. We conducted walking experiments with five hemiplegic subjects and five healthy subjects. The evaluation system successfully scored the hip-knee joint coordination of patients, allowing us to differentiate between healthy individuals and hemiplegic patients. This assessment system can also be used to distinguish between the affected and unaffected sides of hemiplegic subjects. In conclusion, the hip-knee joint coordination assessment system developed in this paper has significant potential for clinical disease diagnosis.

Sub direction classification机器学习
planning direction of the national heavy laboratory人机混合智能
Paper associated data
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/57497
Collection多模态人工智能系统全国重点实验室_医疗机器人
Affiliation1.Macau University of Science and Technology
2.State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences
3.Beijing Bo'ai Hospital, China Rehabilitation Research Center
Recommended Citation
GB/T 7714
Ningcun Xu,Chen Wang,Liang Peng,et al. A Hip-Knee Joint Coordination Evaluation System in Hemiplegic Individuals Based on Cyclogram Analysis[C],2023.
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