Effect of missing RR-interval data on nonlinear heart rate variability analysis

Computer Methods and Programs in Biomedicine

Volumn 106, Issue 3, 2012, Pages 210-218

  Kim, Ko Keun ^a,c   Baek, Hyun Jae ^a   Lim, Yong Gyu ^b   Park, Kwang Suk ^a  

^a Seoul National University   (South Korea)

^b Sangji University   (South Korea)

^c Korea Institute of Science and Technology   (South Korea)

Author keywords

Heart rate variability (HRV); Missing data; Nonlinear; Ubiquitous healthcare

Indexed keywords

CUBIC HERMITE; CUBIC SPLINE; ENTROPY ANALYSIS; ERROR VALUES; FREQUENCY DOMAINS; HEART RATE VARIABILITY; INTERPOLATION METHOD; LONG-TERM VARIATIONS; MISSING DATA; MONTE CARLO; NEAREST NEIGHBOUR; NON-LINEAR PARAMETERS; NONLINEAR; NORMAL SINUS RHYTHM; PIECE-WISE; POINCARE; RR INTERVALS; SIMULATION STUDIES; TACHOGRAMS; UBIQUITOUS HEALTH CARE;

HEALTH CARE; HEART; INTERPOLATION;

NONLINEAR ANALYSIS;

ANALYSIS; ARTICLE; DATA BASE; ELECTROCARDIOGRAM; ENTROPY; HEART RATE VARIABILITY; HUMAN; RR INTERVAL; SIMULATION; SINUS RHYTHM; SLEEP;

ALGORITHMS; DATA INTERPRETATION, STATISTICAL; ELECTROCARDIOGRAPHY; FEMALE; HEART RATE; HUMANS; MALE; MONTE CARLO METHOD;

EID: 84860250634     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2010.11.011     Document Type: Article

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