生物医学工程研究Issue(4)：205-210,6.
帕金森病患者红外线数字化步态测量数据的半自动提取方法的建立
Semi-automatic Extraction Method to Establish for the PD Gait Data of Infrared Digital Measurement
摘要
Abstract
Many neurological diseases and bone-damaged diseases can cause movement disorder leading to abnormal gait,such as Parkinson′s disease.It will be more accurate to evaluate the rehabilitation of some disease through quantitative evaluation of gait param-eters instead of qualitative evaluation by doctor′s visual inspection.At present,the common method to make quantitative analysis of gait is to collect the three-dimensional coordinates of human body through the motion capture devices,then to extract the gait charac-teristics through the three-dimensional coordinates.During the extraction process,it is difficult to conduct completely automatic selec-tion due to the large masses of the original data,the complexity of completely manual processing,as well as the numerous cases of the demarcation points of clinical gait.In this case,with the combination of the advantages of multiple softwares,we utilize matlab to select demarcation points manually and then automatically extracted the displaying results of gait characteristics in friendly interface in order to realize the semi-automatic processing of three -dimensional coordinates,thus managing to extract the gait parameters efficiently as well as reflect the individual characteristics of clinical gait for Parkinson′s disease accurately.关键词
三维坐标/步态参数/步态分界点/帕金森症/神经康复Key words
Three-dimensional coordinates/Gait parameters/Gait cut-off point/Parkinson′s disease/Neurological rehabilitation分类
医药卫生引用本文复制引用
于昌琳,沈林勇,胡小吾,钱晋武,吴曦..帕金森病患者红外线数字化步态测量数据的半自动提取方法的建立[J].生物医学工程研究,2014,(4):205-210,6.基金项目
国家自然科学基金资助项目（51275282）；中国教育部博士点基金资助项目（20123108110009）。 （）
