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A New Approach for Heart Rate Monitoring using Photoplethysmography Signals Contaminated by MotionArtifacts

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Citation Author(s):
Zhilin Zhang
Submitted by:
Biao Sun
Last updated:
19 March 2016 - 8:30am
Document Type:
Poster
Document Year:
2016
Event:
Presenters Name:
Biao Sun

Abstract 

Abstract: 

We considered the problem of accurately estimating the heart rate (HR) using photoplethysmography (PPG) signals that are contaminated by motion artifacts (MA). A novel HR estimation approach based on GRidless spectral Estimation and SVM-based peak Selection, denoted by GRESS, was proposed. It first obtained the sparse spectrum of PPG using a continuous dictionary, then a simple spectral subtraction step was adopted to remove MA, finally an SVM-based method was developed to select the spectral peak corresponding to HR. Experimental results on the PPG datasets used in 2015 IEEE Signal Processing Cup showed that the proposed approach had excellent performance.

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Dataset Files

ICASSP2016_poster.pdf

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