Towards Investigating Global Warming Impact on Human Health Using Derivatives of Photoplethysmogram Signals
Name
Elgendi-2015-Towards Investigatin.pdf
Size
434.34 KB
Format
Adobe PDF
Checksum (MD5)
d911e10b4489348541daaeae962a1397
Author(s) • • • • • •
Elgendi, Mohamed
Norton, Ian
Brearley, Matt
Abbott, Derek
Lovell, Nigel
Schuurmans, Dale
Fletcher, Richard R
Date Issued
October 2015
Journal
International Journal of Environmental Research and Public Health
Publisher
MDPI AG
Citation
Elgendi, Mohamed, Ian Norton, Matt Brearley, Richard Fletcher, Derek Abbott, Nigel Lovell, and Dale Schuurmans. “Towards Investigating Global Warming Impact on Human Health Using Derivatives of Photoplethysmogram Signals.” IJERPH 12, no. 10 (October 2015): 12776–12791.
Version
Final published version
Abstract
Recent clinical studies show that the contour of the photoplethysmogram (PPG) wave contains valuable information for characterizing cardiovascular activity. However, analyzing the PPG wave contour is difficult; therefore, researchers have applied first or higher order derivatives to emphasize and conveniently quantify subtle changes in the filtered PPG contour. Our hypothesis is that analyzing the whole PPG recording rather than each PPG wave contour or on a beat-by-beat basis can detect heat-stressed subjects and that, consequently, we will be able to investigate the impact of global warming on human health. Here, we explore the most suitable derivative order for heat stress assessment based on the energy and entropy of the whole PPG recording. The results of our study indicate that the use of the entropy of the seventh derivative of the filtered PPG signal shows promising results in detecting heat stress using 20-second recordings, with an overall accuracy of 71.6%. Moreover, the combination of the entropy of the seventh derivative of the filtered PPG signal with the root mean square of successive differences, or RMSSD (a traditional heart rate variability index of heat stress), improved the detection of heat stress to 88.9% accuracy.
MIT Department
Massachusetts Institute of Technology. Device Research Laboratory
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3390/ijerph121012776