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作 者:王晓丽[1] 高唯 WANG Xiaoli;GAO Wei(College of Electronic Information Engineering,Changchun University,Changchun 130022,China)
机构地区:[1]长春大学电子信息工程学院
出 处:《长春大学学报》2019年第10期1-5,共5页Journal of Changchun University
基 金:吉林省教育厅项目(JJKH20180948KJ)
摘 要:为提高平衡能力评估的精确性,提出使用测力板和肌电信号仪所测量的多模态人体信息来计算平衡指标的评估方法。选取两组健康的青年与老年受试者进行数据采集,应用功率谱密度理论原理,计算分段频率上功率谱百分比,综合分析老年组和青年组的平衡能力。再多尺度熵提取特征,完成测力板、肌电采集模块对平衡能力的评估。结果表明,使用测力板与肌电采集模块,将人体静态平衡和非线性时域分析理论相结合来研究人体静态平衡机能稳定性,可分析视觉、性别及年龄等对平衡稳定性的影响。In order to improve the accuracy of balance assessment,a method of calculating the balance indexes of multi-modal human body information measured by force-measuring board and EMG signal instrument is proposed,in which two groups of healthy young and old subjects are selected for data collection,the power spectral density theory principle is applied to calculate the percentage of power spectrum at the segmentation frequency,and the balance ability of the two groups is comprehensively analyzed. The multi-scale entropy extraction feature is used to evaluate the balance ability of the force-measuring board and the evoked EMG acquisition module. The results show that combination of the static balance of human body with the theory of nonlinear time domain analysis by using force-measuring board and the evoked EMG acquisition module to study the stability of human static balance function can analyze the effects of vision,gender and age on balance stability.
关 键 词:人体静态平衡 重心 力检测平台 功率谱密度 多尺度熵
分 类 号:TP751[自动化与计算机技术—检测技术与自动化装置]
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