Document Detail


Point process time-frequency analysis of dynamic respiratory patterns during meditation practice.
MedLine Citation:
PMID:  22350435     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Respiratory sinus arrhythmia (RSA) is largely mediated by the autonomic nervous system through its modulating influence on the heart beats. We propose a robust algorithm for quantifying instantaneous RSA as applied to heart beat intervals and respiratory recordings under dynamic breathing patterns. The blood volume pressure-derived heart beat series (pulse intervals, PIs) are modeled as an inverse Gaussian point process, with the instantaneous mean PI modeled as a bivariate regression incorporating both past PIs and respiration values observed at the beats. A point process maximum likelihood algorithm is used to estimate the model parameters, and instantaneous RSA is estimated via a frequency domain transfer function evaluated at instantaneous respiratory frequency where high coherence between respiration and PIs is observed. The model is statistically validated using Kolmogorov-Smirnov goodness-of-fit analysis, as well as independence tests. The algorithm is applied to subjects engaged in meditative practice, with distinctive dynamics in the respiration patterns elicited as a result. The presented analysis confirms the ability of the algorithm to track important changes in cardiorespiratory interactions elicited during meditation, otherwise not evidenced in control resting states, reporting statistically significant increase in RSA gain as measured by our paradigm.
Authors:
Sandun Kodituwakku; Sara W Lazar; Premananda Indic; Zhe Chen; Emery N Brown; Riccardo Barbieri
Related Documents :
23454435 - Investigating the cryoablative efficacy of a hybrid cryoprobe operating under freeze-th...
11900195 - Performance analysis and determination of the p(wall) correction factor for 60co gamma-...
12564485 - Intercalibration of sumer and cds on soho. iii. sumer and cds-gis. solar and heliospher...
3810555 - Utility of a modified calibration model for reliable conversion of thromboplastin times...
22728045 - Respondent driven sampling and community structure in a population of injecting drug us...
22016575 - Likelihood-based inferences under isolation by distance: two-dimensional habitats and c...
Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural     Date:  2012-02-21
Journal Detail:
Title:  Medical & biological engineering & computing     Volume:  50     ISSN:  1741-0444     ISO Abbreviation:  Med Biol Eng Comput     Publication Date:  2012 Mar 
Date Detail:
Created Date:  2012-03-12     Completed Date:  2012-05-07     Revised Date:  2014-09-18    
Medline Journal Info:
Nlm Unique ID:  7704869     Medline TA:  Med Biol Eng Comput     Country:  United States    
Other Details:
Languages:  eng     Pagination:  261-75     Citation Subset:  IM    
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Adult
Algorithms
Arrhythmia, Sinus / physiopathology*
Autonomic Nervous System / physiology
Female
Humans
Male
Meditation*
Middle Aged
Models, Cardiovascular*
Respiratory Mechanics / physiology*
Signal Processing, Computer-Assisted
Grant Support
ID/Acronym/Agency:
DP1-OD003646/OD/NIH HHS; K01 AT000694/AT/NCCAM NIH HHS; K01-AT00694-01/AT/NCCAM NIH HHS; R01 HL084502/HL/NHLBI NIH HHS; R01 HL084502-05/HL/NHLBI NIH HHS; R01-DA015644/DA/NIDA NIH HHS; R01-HL084502/HL/NHLBI NIH HHS
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Memory disorders in patients with cerebral tumors.
Next Document:  Asymptotic model of electrical stimulation of nerve fibers.