Doheny Emer P, Foran Timothy G, Greene Barry R
TRIL centre and Intel's Digital Health Group, Leixlip, Co. Kildare, Ireland.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:1300-3. doi: 10.1109/IEMBS.2010.5626397.
Inertial sensors have become increasingly popular in gait analysis, due to their highly portable, low cost, and potentially wireless nature. However, accurate spatial gait analysis using few sensors remains a challenge. A gyroscope-based algorithm for spatial gait analysis is presented. This novel algorithm (SGA) uses data from a single gyroscope attached to each shank. The performance of the SGA was compared to that of an electronic walkway, GAITRite®. The two systems compared favorably, with a mean error in stride length of 0.09 ± 0.07 m, and a mean error in stride velocity of 0.11 ± 0.10 m/s. The error between the SGA and GAITRite was also similar to that reported by previous inertial sensor based algorithms. The relationship between stride length and stride velocity, as well as that of subject height and stride length was also examined. This new method provides an inexpensive, portable system for spatial or spatio-temporal gait analysis, which has potential for use in any location.
由于惯性传感器具有高度便携、成本低且可能具备无线特性,它们在步态分析中越来越受欢迎。然而,使用少量传感器进行准确的空间步态分析仍然是一项挑战。本文提出了一种基于陀螺仪的空间步态分析算法。这种新颖的算法(SGA)使用附着在每条小腿上的单个陀螺仪的数据。将SGA的性能与电子步道GAITRite®的性能进行了比较。这两个系统表现良好,步长的平均误差为0.09±0.07米,步速的平均误差为0.11±0.10米/秒。SGA与GAITRite之间的误差也与先前基于惯性传感器的算法所报告的误差相似。还研究了步长与步速之间的关系,以及受试者身高与步长之间的关系。这种新方法为空间或时空步态分析提供了一种廉价、便携的系统,具有在任何地点使用的潜力。