de Castro Marcelo P, Meucci Marco, Soares Denise P, Fonseca Pedro, Borgonovo-Santos Márcio, Sousa Filipa, Machado Leandro, Vilas-Boas João Paulo
Centre of Research, Education, Innovation and Intervention in Sport, Faculty of Sports, University of Porto, Rua Dr. Plácido Costa 91, 4200 450 Porto, Portugal ; Department of Physiotherapy, Activity and Human Movement Study Centre, School of Allied Health Science, Polytechnic Institute of Porto, Rua Valente Perfeito 322, 4400-330 Vila Nova de Gaia, Portugal ; Porto Biomechanics Laboratory, University of Porto, Rua Dr. Plácido Costa 91, 4200 450 Porto, Portugal.
University of Rome "Foro Italico," Piazza Lauro de Bosis 6, 00135 Roma, Italy.
Biomed Res Int. 2014;2014:348659. doi: 10.1155/2014/348659. Epub 2014 Feb 20.
WalkinSense is a new device designed to monitor walking. The aim of this study was to measure the accuracy and repeatability of the gait analysis performed by the WalkinSense system. Descriptions of values recorded by WalkinSense depicting typical gait in adults are also presented. A bench experiment using the Trublu calibration device was conducted to statically test the WalkinSense. Following this, a dynamic test was carried out overlapping the WalkinSense and the Pedar insoles in 40 healthy participants during walking. Pressure peak, pressure peak time, pressure-time integral, and mean pressure at eight-foot regions were calculated. In the bench experiments, the repeatability (i) among the WalkinSense sensors (within), (ii) between two WalkinSense devices, and (iii) between the WalkinSense and the Trublu devices was excellent. In the dynamic tests, the repeatability of the WalkinSense (i) between stances in the same trial (within-trial) and (ii) between trials was also excellent (ICC > 0.90). When the eight-foot regions were analyzed separately, the within-trial and between-trials repeatability was good-to-excellent in 88% (ICC > 0.80) of the data and fair in 11%. In short, the data suggest that the WalkinSense has good-to-excellent levels of accuracy and repeatability for plantar pressure variables.
WalkinSense是一款旨在监测步行的新型设备。本研究的目的是测量WalkinSense系统进行步态分析的准确性和可重复性。文中还介绍了WalkinSense记录的描述成年人典型步态的数值。使用Trublu校准设备进行了一项台架实验,以对WalkinSense进行静态测试。在此之后,对40名健康参与者在行走过程中同时使用WalkinSense和Pedar鞋垫进行了动态测试。计算了八个足部区域的压力峰值、压力峰值时间、压力-时间积分和平均压力。在台架实验中,WalkinSense传感器之间(内部)、两个WalkinSense设备之间以及WalkinSense与Trublu设备之间的可重复性(i)都非常出色。在动态测试中,WalkinSense在同一次试验中不同站立姿势之间(试验内)以及不同试验之间的可重复性(ii)也非常出色(组内相关系数>0.90)。当分别分析八个足部区域时,88%(组内相关系数>0.80)的数据在试验内和试验间的可重复性良好至出色,11%的数据可重复性一般。简而言之,数据表明WalkinSense对于足底压力变量具有良好至出色的准确性和可重复性。