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Title of Journal: Med Biol Eng Comput

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Abbravation: Medical & Biological Engineering & Computing

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Springer Berlin Heidelberg

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DOI

10.1007/s00350-011-2853-z

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1741-0444

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Heart rate analysis by sparse representation for a

Authors: Shai TejmanYarden Ofer Levi Alex Beizerov Yisrael Parmet Tu Nguyen Michael Saunders Zvia Rudich James C Perry Dewleen G Baker Tobias MoellerBertram
Publish Date: 2015/08/12
Volume: 54, Issue: 4, Pages: 595-606
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Abstract

Objective pain assessment methods pose an advantage over the currently used subjective pain rating tools Advanced signal processing methodologies including the wavelet transform WT and the orthogonal matching pursuit algorithm OMP were developed in the past two decades The aim of this study was to apply and compare these timespecific methods to heart rate samples of healthy subjects for acute pain detection Fifteen adult volunteers participated in a study conducted in the pain clinic at a single center Each subject’s heart rate was sampled for 5min baseline followed by a cold pressor test CPT Analysis was done by the WT and the OMP algorithm with a Fourier/Wavelet dictionary separately Data from 11 subjects were analyzed Compared to baseline The WT analysis showed a significant coefficients’ density increase during the pain incline period p  001 and the entire CPT p  001 with significantly higher coefficient amplitudes The OMP analysis showed a significant wavelet coefficients’ density increase during pain incline and decline periods p  001 p  005 and the entire CPT p  0001 with suggestive higher amplitudes Comparison of both methods showed that during the baseline there was a significant reduction in wavelet coefficient density using the OMP algorithm p  0001 Analysis by the twoway ANOVA with repeated measures showed a significant proportional increase in wavelet coefficients during the incline period and the entire CPT using the OMP algorithm p  001 Both methods provided accurate and nondelayed detection of pain events Statistical analysis proved the OMP to be by far more specific allowing the Fourier coefficients to represent the signal’s basic harmonics and the wavelet coefficients to focus on the timespecific painful event This is an initial study using OMP for pain detection further studies need to prove the efficiency of this system in different settings

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