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Towards Investigating Global Warming Impact on Human Health Using Derivatives of Photoplethysmogram Signals

Elgendi, Mohamed Y., Norton, Ian, Brearley, Matt, Fletcher, Richard R., Abbott, Derek, Lovell, Nigel H. and Schuurmans, Dale (2015). Towards Investigating Global Warming Impact on Human Health Using Derivatives of Photoplethysmogram Signals. International Journal of Environmental Research and Public Health,12(10):12776-12791.

Document type: Journal Article
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IRMA ID 84278914xPUB3
Title Towards Investigating Global Warming Impact on Human Health Using Derivatives of Photoplethysmogram Signals
Author Elgendi, Mohamed Y.
Norton, Ian
Brearley, Matt
Fletcher, Richard R.
Abbott, Derek
Lovell, Nigel H.
Schuurmans, Dale
Journal Name International Journal of Environmental Research and Public Health
Publication Date 2015
Volume Number 12
Issue Number 10
ISSN 1661-7827   (check CDU catalogue  open catalogue search in new window)
eISSN 1660-4601
Start Page 12776
End Page 12791
Total Pages 16
Place of Publication Switzerland
Publisher M D P I AG
HERDC Category C1 - Journal Article (DIISR)
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
Keywords exercise
hot environment
affordable healthcare
photoplethysmography
DOI http://dx.doi.org/10.3390/ijerph121012776   (check subscription with CDU E-Gateway service for CDU Staff and Students  check subscription with CDU E-Gateway in new window)


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