Investigation of signal processing algorithms for an embedded microcontroller-based wearable pulse oximeter.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference Pub Date : 2006-01-01 DOI:10.1109/IEMBS.2006.259268

W S Johnston, Y Mendelson

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引用次数: 2

Abstract

Despite steady progress in the miniaturization of pulse oximeters over the years, significant challenges remain since advanced signal processing must be implemented efficiently in real-time by a relatively small size wearable device. The goal of this study was to investigate several potential digital signal processing algorithms for computing arterial oxygen saturation (SpO(2)) and heart rate (HR) in a battery-operated wearable reflectance pulse oximeter that is being developed in our laboratory for use by medics and first responders in the field. We found that a differential measurement approach, combined with a low-pass filter (LPF), yielded the most suitable signal processing technique for estimating SpO(2), while a signal derivative approach produced the most accurate HR measurements.

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基于嵌入式微控制器的可穿戴式脉搏血氧仪信号处理算法研究。

尽管多年来脉搏血氧仪的小型化取得了稳步进展，但仍然存在重大挑战，因为先进的信号处理必须通过相对较小的可穿戴设备有效地实时实现。本研究的目的是研究几种潜在的数字信号处理算法，用于计算电池供电的可穿戴式反射脉搏血氧仪中的动脉氧饱和度(SpO(2))和心率(HR)，该仪器正在实验室开发中，供医务人员和现场急救人员使用。我们发现，结合低通滤波器(LPF)的差分测量方法产生了最适合估计SpO(2)的信号处理技术，而信号导数方法产生了最准确的HR测量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference

CiteScore

2.20

自引率

0.00%

发文量