Paper Info
Title
Heart Rate Tracking using Wrist-Type Photoplethysmographic (PPG) Signals during Physical Exercise with Simultaneous Accelerometry.
Abstract
This letter considers the problem of casual heart rate tracking during intensive physical exercise using simultaneous 2 channel photoplethysmographic (PPG) and 3 dimensional (3D) acceleration signals recorded from wrist. This is a challenging problem because the PPG signals recorded from wrist during exercise are contaminated by strong Motion Artifacts (MAs). In this work, a novel algorithm is proposed which consists of two main steps of MA Cancellation and Spectral Analysis. The MA cancellation step cleanses the MA-contaminated PPG signals utilizing the acceleration data and the spectral analysis step estimates a higher resolution spectrum of the signal and selects the spectral peaks corresponding to HR. Experimental results on datasets recorded from 12 subjects during fast running at the peak speed of 15 km/hour showed that the proposed algorithm achieves an average absolute error of 1.25 beat per minute (BPM). These experimental results also confirm that the proposed algorithm keeps high estimation accuracies even in strong MA conditions.
Year
DOI
Venue
2015
10.1109/LSP.2015.2509868
Signal Processing Letters, IEEE
Keywords
Field
DocType
Adaptive motion artifact cancellation,causal heart rate monitoring,iterative method with adaptive thresholding (IMAT),photoplethysmograph (PPG),singular value decomposition (SVD),sparse spectrum estimation
Algorithm design,Pattern recognition,Accelerometer,Acceleration,Artificial intelligence,Beat (music),Adaptive filter,Time–frequency analysis,Heart rate,Mathematics,Approximation error
Journal
Volume
Issue
ISSN
abs/1504.04785
2
1070-9908
Citations 
PageRank 
References 
7
0.59
16
Authors
5
Name
Order
Citations
PageRank
Mahdi Boloursaz Mashhadi1235.13
Ehsan Asadi270.59
Mohsen Eskandari370.59
Shahrzad Kiani4152.10
Farrokh Marvasti511313.55