可穿戴设备在跑步步态分析中的应用:一项研究方案。
Wearables for running gait analysis: A study protocol.
机构信息
Department of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle, United Kingdom.
Department of Computer and Information Sciences, Northumbria University, Newcastle, United Kingdom.
出版信息
PLoS One. 2023 Sep 11;18(9):e0291289. doi: 10.1371/journal.pone.0291289. eCollection 2023.
Quantitative running gait analysis is an important tool that provides beneficial outcomes to injury risk/recovery or performance assessment. Wearable devices have allowed running gait to be evaluated in any environment (i.e., laboratory or real-world settings), yet there are a plethora of different grades of devices (i.e., research-grade, commercial, or novel multi-modal) available with little information to make informed decisions on selection. This paper outlines a protocol that will examine different grades of wearables for running gait analysis in healthy individuals. Specifically, this pilot study will: 1) examine analytical validity and reliability of wearables (research-grade, commercial, high-end multimodal) within a controlled laboratory setting; 2) examine analytical validation of different grades of wearables in a real-world setting, and 3) explore clinical validation and usability of wearables for running gait analysis (e.g., injury history (previously injured, never injured), performance level (novice, elite) and relationship to meaningful outcomes). The different grades of wearable include: (1) A research-grade device, the Ax6 consists of a configurable tri-axial accelerometer and tri-axial gyroscope with variable sampling capabilities; (2) attainable (low-grade) commercial with proprietary software, the DorsaVi ViMove2 consisting of two, non-configurable IMUs modules, with a fixed sampling rate and (3) novel multimodal high-end system, the DANU Sports System that is a pair of textile socks, that contain silicone based capacitive pressure sensors, and configurable IMU modules with variable sampling rates. Clinical trial registration: Trial registration: NCT05277181.
定量跑步步态分析是一种重要的工具,可为受伤风险/恢复或性能评估提供有益的结果。可穿戴设备使人们可以在任何环境(即实验室或真实环境)中评估跑步步态,但有大量不同等级的设备(即研究级、商业级或新型多模态)可供选择,而有关如何做出明智选择的信息却很少。本文概述了一项方案,该方案将检查健康个体的不同等级的可穿戴设备进行跑步步态分析。具体来说,这项初步研究将:1)在受控的实验室环境中检查可穿戴设备(研究级、商业级、高端多模态)的分析有效性和可靠性;2)在真实环境中检查不同等级的可穿戴设备的分析有效性;3)探索可穿戴设备在跑步步态分析中的临床验证和可用性(例如,受伤史(以前受伤、从未受伤)、表现水平(新手、精英)以及与有意义的结果的关系)。不同等级的可穿戴设备包括:(1)研究级设备,Ax6 由可配置的三轴加速度计和三轴陀螺仪组成,具有可变的采样能力;(2)可实现的(低等级)商业设备,具有专有软件的 DorsaVi ViMove2 由两个不可配置的 IMU 模块组成,具有固定的采样率;(3)新型高端多模态系统,DANU Sports System 是一对包含硅基电容压力传感器的纺织袜子,具有可配置的 IMU 模块和可变的采样率。临床试验注册:试验注册:NCT05277181。