Faculty of Engineering, Universidad Militar Nueva Granada, Bogotá 110111, Colombia.
Department of Functional Anatomy, University Libre de Bruxelles, 1170 Brussels, Belgium.
Sensors (Basel). 2024 Sep 30;24(19):6351. doi: 10.3390/s24196351.
As part of an investigation to detect asymmetries in gait patterns in persons with shoulder injuries, the goal of the present study was to design and validate a Kinect-based motion capture system that would enable the extraction of joint kinematics curves during gait and to compare them with the data obtained through a commercial motion capture system. The study included eight male and two female participants, all diagnosed with anterolateral shoulder pain syndrome in their right upper extremity with a minimum 18 months of disorder evolution. The participants had an average age of 31.8 ± 9.8 years, a height of 173 ± 18 cm, and a weight of 81 ± 15 kg. The gait kinematics were sampled simultaneously with the new system and the Clinical 3DMA system. Shoulder, elbow, hip, and knee kinematics were compared between systems for the pathological and non-pathological sides using repeated measures ANOVA and 1D statistical parametric mapping. For most variables, no significant difference was found between systems. Evidence of a significant difference between the newly developed system and the commercial system was found for knee flexion-extension ( < 0.004, between 60 and 80% of the gait cycle), and for shoulder abduction-adduction. The good concurrent validity of the new Kinect-based motion analysis system found in this study opens promising perspectives for clinical motion tracking using an affordable and simple system.
作为一项旨在检测肩部损伤患者步态模式不对称性的研究的一部分,本研究旨在设计和验证一种基于 Kinect 的运动捕捉系统,以便在步态过程中提取关节运动学曲线,并将其与通过商业运动捕捉系统获得的数据进行比较。该研究包括 8 名男性和 2 名女性参与者,所有参与者均被诊断为右上肢前外侧肩部疼痛综合征,且疾病演变至少 18 个月。参与者的平均年龄为 31.8 ± 9.8 岁,身高为 173 ± 18cm,体重为 81 ± 15kg。使用新系统和 Clinical 3DMA 系统同时对步态运动学进行采样。使用重复测量方差分析和 1D 统计参数映射,比较系统对病理侧和非病理侧的肩部、肘部、髋部和膝部运动学。对于大多数变量,系统之间没有发现显著差异。对于膝关节屈伸(<0.004,步态周期的 60%至 80%之间)和肩关节外展内收,新开发的系统和商业系统之间发现了具有统计学意义的差异证据。本研究中发现的新的基于 Kinect 的运动分析系统具有良好的同期有效性,为使用经济实惠且简单的系统进行临床运动跟踪开辟了广阔的前景。