School of Computing and Mathematics, University of Ulster, N. Ireland, UK.
Comput Methods Programs Biomed. 2012 Nov;108(2):715-23. doi: 10.1016/j.cmpb.2012.04.004. Epub 2012 May 8.
This paper presents a software program (iGAIT) developed in MATLAB, for the analysis of gait patterns extracted from accelerometer recordings. iGAIT provides a user-friendly graphical interface to display and analyse gait acceleration data recorded by an accelerometer attached to the lower back of subjects. The core function of iGAIT is gait feature extraction, which can be used to derive 31 features from acceleration data, including 6 spatio-temporal features, 7 regularity and symmetry features, and 18 spectral features. Features extracted are summarised and displayed on screen, as well as an option to be stored in text files for further review or analysis if required. Another unique feature of iGAIT is that it provides interactive functionality allowing users to manually adjust the analysis process according to their requirements. The system has been tested under Window XP, Vista and Window 7 using three different types of accelerometer data. It is designed for analysis of accelerometer data recorded with sample frequencies ranging from 5 Hz to 200 Hz.
本文提出了一个基于 MATLAB 开发的软件程序（iGAIT），用于分析从加速度计记录中提取的步态模式。iGAIT 提供了一个用户友好的图形界面，用于显示和分析附着在受试者下背部的加速度计记录的步态加速数据。iGAIT 的核心功能是步态特征提取，它可以从加速度数据中提取 31 个特征，包括 6 个时空特征、7 个规则性和对称性特征以及 18 个频谱特征。提取的特征在屏幕上进行总结和显示，并提供了将其存储在文本文件中的选项，以便在需要时进行进一步审查或分析。iGAIT 的另一个独特功能是它提供了交互功能，允许用户根据自己的需求手动调整分析过程。该系统已在 Window XP、Vista 和 Window 7 下使用三种不同类型的加速度计数据进行了测试。它旨在分析采样频率范围为 5 Hz 至 200 Hz 的加速度计数据。
