Point process respiratory sinus arrhythmia analysis during deep tissue pain stimulation

Sandun Kodituwakku*, Jieun Kim, Vitaly Napadow, Marco L. Loggia, Riccardo Barbieri

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    We present an analysis of autonomic nervous system responses to deep tissue pain by using an instantaneous point process assessment of Heart Rate Variability (HRV) and Respiratory Sinus Arrhythmia (RSA). Ten subjects received pressure stimuli at 8 individually calibrated intensities (7 painful) over three separate runs. An inverse Gaussian point process framework modeled the R-R interval (RR) by defining a bivariate regression incorporating both past RRs and respiration values observed at the beats. Instantaneous indices of sympatho-vagal balance and RSA were estimated combining a maximum-likelihood algorithm with time-frequency analysis. The model was validated by Kolmogorov-Smirnov goodness-of-fit and independence tests. Results show that, in comparison to the resting period, all three pain runs elicited a significant decrease in RSA by over 21% (p=0.0547, 0.0234, 0.0547) indicating a reduced parasympathetic tone during pain, with RSA estimates negatively correlated with the calibrated stimulus intensity levels (slope = -0.4123, p=0.0633).

    Original languageEnglish
    Title of host publicationComputing in Cardiology 2011, CinC 2011
    Pages193-196
    Number of pages4
    Publication statusPublished - 2011
    EventComputing in Cardiology 2011, CinC 2011 - Hangzhou, China
    Duration: 18 Sept 201121 Sept 2011

    Publication series

    NameComputing in Cardiology
    Volume38
    ISSN (Print)2325-8861
    ISSN (Electronic)2325-887X

    Conference

    ConferenceComputing in Cardiology 2011, CinC 2011
    Country/TerritoryChina
    CityHangzhou
    Period18/09/1121/09/11

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