Cascade and parallel combination (CPC) of adaptive filters for estimating heart rate during intensive physical exercise from photoplethysmographic signal

Healthcare Technology Letters

article

Mohammad Tariqul Islam¹  Sk. Tanvir Ahmed¹  Ishmam Zabir¹  Celia Shahnaz¹  Shaikh Anowarul Fattah¹ 

[1] Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology;Department of Electrical and Computer Engineering, University of California Riverside, 900 University Ave

关键词: cardiology;    adaptive filters;    medical signal processing;    photoplethysmography;    acceleration measurement;    algorithmic approach;    adaptive noise cancelers;    three-channel accelerometer signals;    noise reduction;    motion artefacts;    parallel combination;    wearable devices;    photoplethysmographic signal;    intensive physical exercise;    heart rate monitoring;    adaptive filters;   

DOI  :  10.1049/htl.2017.0027

学科分类：肠胃与肝脏病学

来源: Wiley

【 摘 要 】

Photoplethysmographic (PPG) signal is getting popularity for monitoring heart rate in wearable devices because of simplicity of construction and low cost of the sensor. The task becomes very difficult due to the presence of various motion artefacts. In this study, an algorithm based on cascade and parallel combination (CPC) of adaptive filters is proposed in order to reduce the effect of motion artefacts. First, preliminary noise reduction is performed by averaging two channel PPG signals. Next in order to reduce the effect of motion artefacts, a cascaded filter structure consisting of three cascaded adaptive filter blocks is developed where three-channel accelerometer signals are used as references to motion artefacts. To further reduce the affect of noise, a scheme based on convex combination of two such cascaded adaptive noise cancelers is introduced, where two widely used adaptive filters namely recursive least squares and least mean squares filters are employed. Heart rates are estimated from the noise reduced PPG signal in spectral domain. Finally, an efficient heart rate tracking algorithm is designed based on the nature of the heart rate variability. The performance of the proposed CPC method is tested on a widely used public database. It is found that the proposed method offers very low estimation error and a smooth heart rate tracking with simple algorithmic approach.

【 授权许可】

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