Arango Paredes Juan David, Muñoz Beatriz, Agredo Wilfredo, Ariza-Araújo Yoseth, Orozco Jorge Luis, Navarro Andres
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:6860-3. doi: 10.1109/EMBC.2015.7319969.
Parkinson's disease is characterized by alterations in the gait pattern that may increase the risk of falls. Variations in the gait pattern cannot be objectively measured in clinical examination, so it is necessary to adapt devices to measure objectively, valid and replicable changes in gait patterns that are part of the evolution of the disease and / or pharmacotherapy. In an interdisciplinary effort, we developed the "e-Motion Capture System" software, which is able to calculate motor (cadence, stride and step length) and spatiotemporal (velocity and acceleration) parameters that affect quality of life in patients with Parkinson's disease. In this paper, we show results of the comparison between our e-Motion software and a benchmark reference, multiple-camera 3D motion capture system to track a gait pattern. This analysis was performed to compare the spatial locations of the ankles of a volunteer under indoor controlled conditions. Our results for the comparison between e-Motion and the 3D motion capture system show excellent agreement.
帕金森病的特征是步态模式改变，这可能会增加跌倒风险。在临床检查中无法客观测量步态模式的变化，因此有必要采用设备来客观测量作为疾病进展和/或药物治疗一部分的步态模式的有效且可重复的变化。通过跨学科努力，我们开发了“电子运动捕捉系统”软件，该软件能够计算影响帕金森病患者生活质量的运动（步频、步幅和步长）以及时空（速度和加速度）参数。在本文中，我们展示了我们的电子运动软件与用于跟踪步态模式的基准参考多摄像头3D运动捕捉系统之间的比较结果。此分析是在室内受控条件下对一名志愿者脚踝的空间位置进行比较。我们对电子运动软件和3D运动捕捉系统的比较结果显示出极佳的一致性。
