On Time Domain Analysis of Photoplethysmogram Signals for Monitoring Heat Stress
Name
sensors-15-24716.pdf
Size
556.47 KB
Format
Adobe PDF
Checksum (MD5)
9e50e867f31f1f1ed04a776deb1ea082
Author(s)
Elgendi, Mohamed
Norton, Ian
Brearley, Matt
Abbott, Derek
Lovell, Nigel H.
Schuurmans, Dale
Lovell, Nigel
Fletcher, Richard J
Date Issued
September 2015
Journal
Sensors
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Citation
Elgendi, Mohamed et al. "On Time Domain Analysis of Photoplethysmogram Signals for Monitoring Heat Stress." Sensors 15, 10 (September 2015): 24716-24734 © 2015 The Authors
Version
Final published version
Abstract
There are a limited number of studies on heat stress dynamics during exercise using the photoplethysmogram (PPG) and its second derivative (APG). However, we investigate the most suitable index from short PPG signal recordings for heat stress assessment. The APG waveform consists of a, b, c and d waves in systole and an e wave in diastole. Our preliminary results indicate that the use of the energy of aa area, derived from PPG signals measured from emergency responders in tropical conditions, is promising in determining the heat stress level using 20-s recordings. After examining 14 time domain features using leave-one-out cross-validation, we found that the aa energy extracted from PPG signals is the most informative feature for classifying heat-stressed subjects, with an overall accuracy of 79%. Moreover, the combination of the aa energy with the traditional heart rate variability index of heat stress (i.e., the square root of the mean of the squares of the successive aa intervals) improved the heat stress detection to an overall accuracy of 83%. Keywords: global warming; affordable healthcare; thermal stress
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3390/s151024716
