CAJ | 학술논문

骨关节植入物%骨与关节生物力学%视频图像%边缘检测%步态%下肢%关节角度%运动规律%图像捕捉系统%数据库%康复评定%评定标准%其他基金骨關節植入物%骨與關節生物力學%視頻圖像%邊緣檢測%步態%下肢%關節角度%運動規律%圖像捕捉繫統%數據庫%康複評定%評定標準%其他基金
골관절식입물%골여관절생물역학%시빈도상%변연검측%보태%하지%관절각도%운동규률%도상포착계통%수거고%강복평정%평정표준%기타기금
bone and joint implants%bone and joint biomechanics%video image%edge detection%gaits%lower limbs%joint angle%law of motion%image capture system%database%rehabilitation evaluation%assessment standards%other grants-supported paper

背景:步态规律主要应用人体行走的运动学、动力学等参数进行描述.目前在运动医学、康复工程和仿生学等领域,步态分析可为确定疾病诊断、康复和治疗方案提供重要依据. 目的:应用基于人体运动图像的测量装置系统,采集人体在跑步机上行走的下肢运动步态视频,分析人体步态运动规律. 方法:采用基于双摄影机的人体运动图像捕捉系统,在人体的左右髋关节、膝关节、踝关节及脚板设置标识点,对人体在跑步机上行走的下肢运动步态视频进行采集.应用图像边缘检测的原理,对测量数据进行了图像处理和分析,得到人体正常步速行走时,左右大腿与竖直方向夹角、小腿与竖直方向夹角、脚板与竖直方向夹角及膝关节、踝关节标识点的关节角度变化规律. 结果与结论:基于视频图像边缘检测人体下肢的运动步态,成本相对低廉,数据误差较小,精度与进口设备较接近.应用该测量结果初步构建了人体步态行走数据库,为建立步态评定标准、异常步态判别以及进一步的康复治疗提供了依据.
배경:보태규률주요응용인체행주적운동학、동역학등삼수진행묘술.목전재운동의학、강복공정화방생학등영역,보태분석가위학정질병진단、강복화치료방안제공중요의거. 목적:응용기우인체운동도상적측량장치계통,채집인체재포보궤상행주적하지운동보태시빈,분석인체보태운동규률. 방법:채용기우쌍섭영궤적인체운동도상포착계통,재인체적좌우관관절、슬관절、과관절급각판설치표식점,대인체재포보궤상행주적하지운동보태시빈진행채집.응용도상변연검측적원리,대측량수거진행료도상처리화분석,득도인체정상보속행주시,좌우대퇴여수직방향협각、소퇴여수직방향협각、각판여수직방향협각급슬관절、과관절표식점적관절각도변화규률. 결과여결론:기우시빈도상변연검측인체하지적운동보태,성본상대저렴,수거오차교소,정도여진구설비교접근.응용해측량결과초보구건료인체보태행주수거고,위건립보태평정표준、이상보태판별이급진일보적강복치료제공료의거.
@@@@BACKGROUND: The parameters of kinematics and dynamics are usual y used to describe the law of gaits. Up to now, in the fields of sports medicine, rehabilitation engineering and bionics, gait analysis can provide important basis for ascertaining the scenario of diagnosis disease, the scenario of treatment and recovery. @@@@OBJECTIVE: To acquire the lower extremity motion gaits video on the treadmil by the image measuring device system based on the human motion in order to analyze the regular pattern of human gaits. @@@@METHODS: The identification points were set on the right and left hip joints, knee joints and foot plate by the image-gathering system in order to acquire the lower extremity motion gait while the subject walked on a treadmil . After processing and analyzing the data based on the theory of image edge detection, angle between the right and left thighs and vertical direction, angle between leg and vertical direction, angle between foot plate and vertical direction and the changes of the angles of identification points of knee joints and ankle joints were obtained. @@@@RESULTS AND CONCLUSION: The human lower extremity motion gait obtained according to the theory of image edge detection has relatively low cost and smal error, and the accuracy was similar to the imported equipment. Final y, a database of human gait was built based on the measurement results, and it provided a basis for the further establishment of assessing standard for human gait, better analysis of abnormal gait and rehabilitation treatments.