Heart Rate Monitoring During Physical Exercise Using Wrist-type Photoplethysmographic (PPG) Signals

Overview

Journal Annu Int Conf IEEE Eng Med Biol Soc

Specialty Biomedical Engineering

Date 2016 Jan 7

PMID 26737700

Citations 7

Authors

Amirhosein Khas Ahmadi

Parsa Moradi

Mahan Malihi

Sajjad Karimi

Mohammad B Shamsollahi

Affiliations

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Abstract

Heart rate monitoring using wrist-type using photoplethysmographic (PPG) signals during subjects' intensive exercises is a challenging problem, since signals are strongly affected by motion artifacts caused by unexpected movements. This paper presents a method that uses both time and frequency characteristics of signals; using sparse signal reconstruction for high-resolution spectrum estimation. Experimental results on type data sets recorded from 12 subjects during fast running at peak speed of 15 km/hour. The results have a performance with the average absolute error being 1.80 beat per minute.

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