基于体域网络加速度计的步幅估计新方法

2011 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems Pub Date : 2011-03-07 DOI:10.1109/BIOWIRELESS.2011.5724356

E. Martin

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引用次数: 50

摘要

使用部署为身体区域网络的无线加速度计进行步态分析可以为多种与健康相关的应用提供有价值的信息。在这个领域中，步长估计是一项艰巨的任务。本文提出了一种利用小波变换对腰部无线加速度计信号进行步长估计的新方法。我们还引入了一种新的度量来确定小波变换细节系数的水平，从中可以直接提取阶跃频率。此外，我们还展示了小波变换近似系数的能量与步态速度之间的相关性。

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Novel method for stride length estimation with body area network accelerometers

Gait analysis using wireless accelerometers deployed as body area networks can provide valuable information for multiple health-related applications. Within this field, stride length estimation represents a difficult task. In this paper we present a novel method to estimate stride length through the application of the wavelet transform to the signal obtained from a wireless accelerometer on the waist. We also introduce a novel metric to determine the level of the wavelet transform detail coefficients from which the step frequency can be directly extracted. Additionally, we show the correlation between the energy of the wavelet transform approximation coefficients and the speed of the gait.

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来源期刊

2011 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems

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