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Title: Frequency analysis of photoplethysmogram and its derivatives.
Authors: Elgendi, Mohamed
Fletcher, Richard R
Norton, Ian
Brearley, Matt
Abbott, Derek
Lovell, Nigel H
Schuurmans, Dale
Citation: Computer methods and programs in biomedicine 2015-12; 122(3): 503-12
Abstract: There are a limited number of studies on heat stress dynamics during exercise using the photoplethysmogram (PPG). We investigate the PPG signal and its derivatives for heat stress assessment using Welch (non-parametric) and autoregressive (parametric) spectral estimation methods. The preliminary results of this study indicate that applying the first and second derivatives to PPG waveforms is useful for determining heat stress level using 20-s recordings. Interestingly, Welch's and Yule-Walker's methods in agreement that the second derivative is an improved detector for heat stress. In fact, both spectral estimation methods showed a clear separation in the frequency domain between measurements before and after simulated heat-stress induction when the second derivative is applied. Moreover, the results demonstrate superior performance of the Welch's method over the Yule-Walker's method in separating before and after the three simulated heat-stress inductions.
Click to open PubMed article: https://www.ezpdhcs.nt.gov.au/login?url=https://www.ncbi.nlm.nih.gov/pubmed/26498064
Click to open Pubmed Article: https://www.ezpdhcs.nt.gov.au/login?url=https://www.ncbi.nlm.nih.gov/pubmed/26498064
Journal title: Computer methods and programs in biomedicine
Publication Date: 2015-12
Type: Letter
URI: https://hdl.handle.net/10137/5421
DOI: 10.1016/j.cmpb.2015.09.021
Appears in Collections:(a) NT Health Research Collection

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