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Titolo:
Application of empirical mode decomposition to heart rate variability analysis
Autore:
Echeverria, JC; Crowe, JA; Woolfson, MS; Hayes-Gill, BR;
Indirizzi:
Univ Nottingham, Sch Elect & Elect Engn, Nottingham, England Univ Nottingham Nottingham England ct & Elect Engn, Nottingham, England Univ Autonoma Metropolitana Iztapalapa, Dept Elect Engn, Mexico City 09340, DF, Mexico Univ Autonoma Metropolitana Iztapalapa Mexico City DF Mexico 09340 Mexico
Titolo Testata:
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
fascicolo: 4, volume: 39, anno: 2001,
pagine: 471 - 479
SICI:
0140-0118(200107)39:4<471:AOEMDT>2.0.ZU;2-6
Fonte:
ISI
Lingua:
ENG
Soggetto:
FREQUENCY-MODULATION MODEL; AUTONOMIC INTEGRATION; SPECTRAL-ANALYSIS; ALGORITHMS; SIGNAL; SERIES; DOMAIN;
Keywords:
heart rate variability; empirical mode decomposition; Hilbert transform; non-linearity; non-stationarity;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Engineering, Computing & Technology
Citazioni:
24
Recensione:
Indirizzi per estratti:
Indirizzo: Echeverria, JC Univ Nottingham, Sch Elect & Elect Engn, Nottingham, England Univ Nottingham Nottingham England , Nottingham, England
Citazione:
J.C. Echeverria et al., "Application of empirical mode decomposition to heart rate variability analysis", MED BIO E C, 39(4), 2001, pp. 471-479

Abstract

The analysis of heart rate variability, involving changes in the autonomicmodulation conditions, demands specific capabilities not provided by either parametric or non-parametric spectral estimation methods. Moreover, thesemethods produce time-averaged power estimates over the entire length of the record. Recently, empirical mode decomposition and the associated Hilbertspectra have been proposed for non-linear and non-stationary time series. The application of these techniques to real and simulated short-term heart rate variability data under stationary and non-stationary conditions is presented. The results demonstrate the ability of empirical mode decompositionto isolate the two main components of one chirp series and three signals simulated by the integral pulse frequency modulation model, and consistentlyto isolate at least four main components localised in the autonomic bands of 14 real signals under controlled breathing manoeuvres. In addition, within the short time-frequency range that is recognised for heart rate variability phenomena, the Hilbert amplitude component ratio and the instantaneousfrequency representation are assessed for their suitability and accuracy in time-tracking changes in amplitude and frequency in the presence of non-stationary and non-linear conditions, The frequency tracking error is found to be less than 0.22% for two simulated signals and one chirp series.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 28/03/20 alle ore 22:58:31