Auvinet Edouard, Multon Franck, Meunier Jean
Biomedical Engineering Institute, Université de Montréal, Montréal, QC, Canada.
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:6793-6. doi: 10.1109/EMBC.2012.6347554.
The gait movement seems simple at first glance, but in reality it is a very complex neural and biomechanical process. In particular, if a person is affected by a disease or an injury, the gait may be modified. The left-right asymmetry of this movement can be related to neurological diseases, segment length differences or joint deficiencies. This paper proposes a novel method to analyze the asymmetry of lower limb movement which aims to be usable in daily clinical practice. This is done by recording the subject walking on a treadmill with a depth camera and then assessing left-right depth differences for the lower limbs during the gait cycle using horizontal flipping and registration of the depth images half a gait cycle apart. Validation on 20 subjects for normal gait and simulated pathologies (with a 5 cm sole), showed that this system is able to distinguish the asymmetry introduced. The major interest of this method is the low cost of the material needed and its easy setup in a clinical environment.
乍一看，步态运动似乎很简单，但实际上它是一个非常复杂的神经和生物力学过程。特别是，如果一个人受到疾病或损伤的影响，步态可能会发生改变。这种运动的左右不对称可能与神经系统疾病、节段长度差异或关节缺陷有关。本文提出了一种分析下肢运动不对称性的新方法，旨在用于日常临床实践。这是通过使用深度相机记录受试者在跑步机上行走，然后在步态周期中使用水平翻转和相隔半个步态周期的深度图像配准来评估下肢的左右深度差异来实现的。对20名正常步态和模拟病理（鞋底有5厘米厚）的受试者进行的验证表明，该系统能够区分引入的不对称性。该方法的主要优点是所需材料成本低，并且在临床环境中易于设置。
