生物医学工程研究
生物醫學工程研究
생물의학공정연구
JOURNAL OF BIOMEDICAL ENGINEERING RESEARCH
2014年
4期
205-210
,共6页
于昌琳%沈林勇%胡小吾%钱晋武%吴曦
于昌琳%瀋林勇%鬍小吾%錢晉武%吳晞
우창림%침림용%호소오%전진무%오희
三维坐标%步态参数%步态分界点%帕金森症%神经康复
三維坐標%步態參數%步態分界點%帕金森癥%神經康複
삼유좌표%보태삼수%보태분계점%파금삼증%신경강복
Three-dimensional coordinates%Gait parameters%Gait cut-off point%Parkinson′s disease%Neurological rehabilitation
很多神经性疾病和骨骼损伤性疾病都会造成运动障碍导致异常步态,帕金森症就是其中的一种,通过步态参数定量评估代替医生目测定性评估,可以更准确的对疾病进行康复评估。目前,对步态定量分析常用的方法是通过运动捕捉仪采集人体三维坐标,再通过三维坐标提取步态特征。在提取过程中,由于原始数据庞大,完全手工处理繁复,同时自动处理中临床步态分界点情况众多,完全自动选取存在困难。本研究结合多个软件的优势,利用matlab绘图手工选取分界点,再自动提取步态特征在友好界面中显示结果,实现对三维坐标的半自动处理,高效地进行步态参数的提取并准确反映了帕金森症临床步态的个体特征。
很多神經性疾病和骨骼損傷性疾病都會造成運動障礙導緻異常步態,帕金森癥就是其中的一種,通過步態參數定量評估代替醫生目測定性評估,可以更準確的對疾病進行康複評估。目前,對步態定量分析常用的方法是通過運動捕捉儀採集人體三維坐標,再通過三維坐標提取步態特徵。在提取過程中,由于原始數據龐大,完全手工處理繁複,同時自動處理中臨床步態分界點情況衆多,完全自動選取存在睏難。本研究結閤多箇軟件的優勢,利用matlab繪圖手工選取分界點,再自動提取步態特徵在友好界麵中顯示結果,實現對三維坐標的半自動處理,高效地進行步態參數的提取併準確反映瞭帕金森癥臨床步態的箇體特徵。
흔다신경성질병화골격손상성질병도회조성운동장애도치이상보태,파금삼증취시기중적일충,통과보태삼수정량평고대체의생목측정성평고,가이경준학적대질병진행강복평고。목전,대보태정량분석상용적방법시통과운동포착의채집인체삼유좌표,재통과삼유좌표제취보태특정。재제취과정중,유우원시수거방대,완전수공처리번복,동시자동처리중림상보태분계점정황음다,완전자동선취존재곤난。본연구결합다개연건적우세,이용matlab회도수공선취분계점,재자동제취보태특정재우호계면중현시결과,실현대삼유좌표적반자동처리,고효지진행보태삼수적제취병준학반영료파금삼증림상보태적개체특정。
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.