光容积图
最小均方滤波器
自适应滤波器
工件(错误)
带通滤波器
计算机科学
均方误差
滤波器(信号处理)
运动估计
人工智能
计算机视觉
数学
电子工程
工程类
算法
统计
作者
Pangi Park,Woobean Lee,Seonghwan Cho
出处
期刊:IEEE Transactions on Biomedical Circuits and Systems
[Institute of Electrical and Electronics Engineers]
日期:2023-10-01
卷期号:17 (5): 1074-1083
标识
DOI:10.1109/tbcas.2023.3315297
摘要
This article presents a motion artifact (MA) cancellation technique for accurate photoplethysmography (PPG)-based heart rate (HR) estimation. The MA is canceled using two PPG signals, measured with closely placed red and green LEDs. The proposed technique utilizes the characteristics of the two PPG signals: the high correlation in MA and their different AC/DC ratios. These characteristics allow the MA to be canceled by an adaptive filter while preserving the AC components. In addition, the use of the sign-sign least mean square (SS-LMS) algorithm for the adaptive filter minimizes the hardware resource requirements. To validate the technique, a prototype was implemented and experiments were conducted with six subjects performing three types of movements: walking, running, and squatting. The proposed MA cancellation method significantly reduced the mean absolute error (MAE) in HR estimation, from 9.83 bpm to 1.48 bpm on average, compared to the conventional bandpass filtered green PPG.
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