Parks Melissa, Chien Jung Hung, Siu Ka-Chun
Clinical Movement Analysis Laboratory, Division of Physical Therapy Education, College of Allied Health Professions, University of Nebraska Medical Center, 984420 Nebraska Medical Center, Omaha, NE.
Mil Med. 2019 Mar 1;184(Suppl 1):65-71. doi: 10.1093/milmed/usy312.
State-of-the-art three-dimensional motion analysis systems, which are utilized to predict, diagnose, and treat many musculoskeletal and neurological disorders, are expensive and space consuming. These systems have only been widely used in large research facilities because of their lack of this transportability. Since device portability is a critically important in the military, most small military hospitals are therefore deprived of these systems. The purpose of this study was to develop a mobile motion capture system, MO2CA, to automatically detect the movement of the human body. Twenty healthy young adults participated in this study. Colored tape was attached on the heel, and subjects walked on the treadmill at three different speeds: preferred, fast, and slow. Two motion capture systems were used concurrently: Qualisys (100 Hz) and MO2CA (60 Hz). Four dependent variables were: stride length, stride time, stride length variability, and stride time variability. Paired t-tests, Pearson correlation, and Bland-Altman plots were used to investigate the statistical differences between two systems. No significant differences were found for all dependent variables. Regression and Bland-Altman plots showed strong agreements between the two systems. Our MO2CA shows a potential for real-time tracking of biomechanical changes in gait, which is extremely important for military use.
最先进的三维运动分析系统用于预测、诊断和治疗多种肌肉骨骼和神经疾病，但其价格昂贵且占用空间大。由于缺乏便携性，这些系统仅在大型研究机构中得到广泛应用。鉴于设备便携性在军事领域至关重要，大多数小型军事医院因此无法使用这些系统。本研究的目的是开发一种移动运动捕捉系统MO2CA，以自动检测人体运动。20名健康的年轻成年人参与了本研究。在他们的脚后跟贴上彩色胶带，让受试者在跑步机上以三种不同速度行走：偏好速度、快速和慢速。同时使用了两种运动捕捉系统：Qualisys（100Hz）和MO2CA（60Hz）。四个因变量分别为：步幅长度、步幅时间、步幅长度变异性和步幅时间变异性。采用配对t检验、Pearson相关性分析和Bland-Altman图来研究两种系统之间的统计学差异。所有因变量均未发现显著差异。回归分析和Bland-Altman图显示两种系统之间具有很强的一致性。我们的MO2CA显示出实时跟踪步态生物力学变化的潜力，这对军事用途极为重要。
