Suppr超能文献

基于 Kinect 的步态分析系统设计及在肩前外侧疼痛综合征患者中的同步效度:一项初步研究的结果。

Kinect-Based Gait Analysis System Design and Concurrent Validity in Persons with Anterolateral Shoulder Pain Syndrome, Results from a Pilot Study.

机构信息

Faculty of Engineering, Universidad Militar Nueva Granada, Bogotá 110111, Colombia.

Department of Functional Anatomy, University Libre de Bruxelles, 1170 Brussels, Belgium.

出版信息

Sensors (Basel). 2024 Sep 30;24(19):6351. doi: 10.3390/s24196351.

Abstract

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.

摘要

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b51/11478740/0adcf50a7eed/sensors-24-06351-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验