Towards investigating global warming impact on human health using derivatives of photoplethysmogram signals
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Date
2015
Authors
Elgendi, M.
Norton, I.
Brearley, M.
Fletcher, R.
Abbott, D.
Lovell, N.
Schuurmans, D.
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International Journal of Environmental Research and Public Health, 2015; 12(10):12776-12791
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Mohamed Elgendi, Ian Norton, Matt Brearley, Richard R. Fletcher, Derek Abbott, Nigel H. Lovell and Dale Schuurmans
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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.
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© 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).