Document Detail


A point-process model of human heartbeat intervals: new definitions of heart rate and heart rate variability.
MedLine Citation:
PMID:  15374824     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Heart rate is a vital sign, whereas heart rate variability is an important quantitative measure of cardiovascular regulation by the autonomic nervous system. Although the design of algorithms to compute heart rate and assess heart rate variability is an active area of research, none of the approaches considers the natural point-process structure of human heartbeats, and none gives instantaneous estimates of heart rate variability. We model the stochastic structure of heartbeat intervals as a history-dependent inverse Gaussian process and derive from it an explicit probability density that gives new definitions of heart rate and heart rate variability: instantaneous R-R interval and heart rate standard deviations. We estimate the time-varying parameters of the inverse Gaussian model by local maximum likelihood and assess model goodness-of-fit by Kolmogorov-Smirnov tests based on the time-rescaling theorem. We illustrate our new definitions in an analysis of human heartbeat intervals from 10 healthy subjects undergoing a tilt-table experiment. Although several studies have identified deterministic, nonlinear dynamical features in human heartbeat intervals, our analysis shows that a highly accurate description of these series at rest and in extreme physiological conditions may be given by an elementary, physiologically based, stochastic model.
Authors:
Riccardo Barbieri; Eric C Matten; Abdulrasheed A Alabi; Emery N Brown
Related Documents :
23652784 - Linking traffic noise, noise annoyance and life satisfaction: a case study.
17354954 - Physiome model based state-space framework for cardiac kinematics recovery.
23172864 - Scribl: an html5 canvas-based graphics library for visualizing genomic data over the web.
23308104 - Emulating natural disturbances for declining late-successional species: a case study of...
15882334 - Contaminant transport models under random sources.
3048044 - The need for computer-aided electromyography.
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, U.S. Gov't, P.H.S.     Date:  2004-09-16
Journal Detail:
Title:  American journal of physiology. Heart and circulatory physiology     Volume:  288     ISSN:  0363-6135     ISO Abbreviation:  Am. J. Physiol. Heart Circ. Physiol.     Publication Date:  2005 Jan 
Date Detail:
Created Date:  2004-12-15     Completed Date:  2005-03-22     Revised Date:  2007-11-14    
Medline Journal Info:
Nlm Unique ID:  100901228     Medline TA:  Am J Physiol Heart Circ Physiol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  H424-35     Citation Subset:  IM    
Affiliation:
Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital, 55 Fruit St., Clinics 3, Boston, MA 02114-2696, USA. barbieri@neurostat.mgh.harvard.edu
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Adult
Electrocardiography
Female
Heart Rate*
Humans
Likelihood Functions
Male
Models, Cardiovascular*
Normal Distribution
Tilt-Table Test
Grant Support
ID/Acronym/Agency:
DA-015644/DA/NIDA NIH HHS; MH-59733/MH/NIMH NIH HHS; MH-61637/MH/NIMH NIH HHS

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


Previous Document:  Increased expression of poly(ADP-ribose) polymerase-1 contributes to caspase-independent myocyte cel...
Next Document:  Nitric oxide regulation of myocardial O2 consumption and HEP metabolism.