Hsu Chia-Yu, Tsai Yuh-Show, Yau Cheng-Shiang, Shie Hung-Hai, Wu Chu-Ming
Department of Rehabilitation Medicine, Ten-Chan General Hospital, No. 155, Yanping Rd., Zhongli Dist., Taoyuan City 320, Taiwan.
Department of Biomedical Engineering, Chung Yuan Christian University, No. 200, Zhongbei Rd., Zhongli Dist., Taoyuan City 320, Taiwan.
Sensors (Basel). 2016 Jul 23;16(8):1156. doi: 10.3390/s16081156.
The aim of this study was to determine the test-retest reliability of an automated infrared-assisted, trunk accelerometer-based gait analysis system for measuring gait parameters of healthy subjects in a hospital. Thirty-five participants (28 of them females; age range, 23-79 years) performed a 5-m walk twice using an accelerometer-based gait analysis system with infrared assist. Measurements of spatiotemporal gait parameters (walking speed, step length, and cadence) and trunk control (gait symmetry, gait regularity, acceleration root mean square (RMS), and acceleration root mean square ratio (RMSR)) were recorded in two separate walking tests conducted 1 week apart. Relative and absolute test-retest reliability was determined by calculating the intra-class correlation coefficient (ICC3,1) and smallest detectable difference (SDD), respectively. The test-retest reliability was excellent for walking speed (ICC = 0.87, 95% confidence interval = 0.74-0.93, SDD = 13.4%), step length (ICC = 0.81, 95% confidence interval = 0.63-0.91, SDD = 12.2%), cadence (ICC = 0.81, 95% confidence interval = 0.63-0.91, SDD = 10.8%), and trunk control (step and stride regularity in anterior-posterior direction, acceleration RMS and acceleration RMSR in medial-lateral direction, and acceleration RMS and stride regularity in vertical direction). An automated infrared-assisted, trunk accelerometer-based gait analysis system is a reliable tool for measuring gait parameters in the hospital environment.
本研究的目的是确定一种基于躯干加速度计的自动红外辅助步态分析系统在医院中测量健康受试者步态参数时的重测信度。35名参与者（其中28名女性；年龄范围为23 - 79岁）使用基于加速度计的红外辅助步态分析系统进行了两次5米步行。在相隔1周进行的两次独立步行测试中记录了时空步态参数（步行速度、步长和步频）和躯干控制（步态对称性、步态规律性、加速度均方根（RMS）和加速度均方根比（RMSR））。分别通过计算组内相关系数（ICC3,1）和最小可检测差异（SDD）来确定相对和绝对重测信度。步行速度（ICC = 0.87，95%置信区间 = 0.74 - 0.93，SDD = 13.4%）、步长（ICC = 0.81，95%置信区间 = 0.63 - 0.91，SDD = 12.2%）、步频（ICC = 0.81，95%置信区间 = 0.63 - 0.91，SDD = 10.8%）和躯干控制（前后方向的步和步幅规律性、内外侧方向的加速度RMS和加速度RMSR以及垂直方向的加速度RMS和步幅规律性）的重测信度极佳。一种基于躯干加速度计的自动红外辅助步态分析系统是在医院环境中测量步态参数的可靠工具。
