A modified Hilbert-Huang algorithm to the assessment of heart rate variability

被引：0

作者：

Tavares, C. ^{[1
]}

Martins, R. C. ^{[2
]}

Oliveira, M. ^{[1
]}

Laranjo, S. ^{[1
]}

Rocha, I. ^{[1
]}

机构：

[1] DBioEng, IST, Fac Med, Inst Fisiol, Lisbon, Portugal

[2] DBioEng, IST, Fac Med, Inst Telecommun, Lisbon, Portugal

来源：

2012 IEEE 2ND PORTUGUESE MEETING IN BIOENGINEERING (ENBENG) | 2012年

关键词：

Hilbert-Huang Transform; Heart Rate Variability; Autonomic Nervous System; Paroxysmal Atrial Fibrillation;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Heart rate variability is a classical method to quantify the autonomic outflow to the cardiovascular system. The current methods in frequency and time-frequency domains have shown some limitations in resolution. In this paper, we propose a modified Hilbert-Huang algorithm to the assessment of autonomic activity in heart rate signals. These approaches are evaluated while analyzing both simulated signals and experimental data from tachograms associated with cardiac autonomic blockade of patients with paroxysmal atrial fibrillation.

引用

页数：4

共 9 条

[1]

Camm AJ, 1996, CIRCULATION, V93, P1043

[2]

Cerutti Sergio., 1995, HEART RATE VARIABILI, P63

[3] Controlled breathing protocols probe human autonomic cardiovascular rhythms [J].

Cooke, WH ;

Cox, JF ;

Diedrich, AM ;

Taylor, JA ;

Beightol, LA ;

Ames, JE ;

Hoag, JB ;

Seidel, H ;

Eckberg, DL .

AMERICAN JOURNAL OF PHYSIOLOGY-HEART AND CIRCULATORY PHYSIOLOGY, 1998, 274 (02) :H709-H718

[4] The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis [J].

Huang, NE ;

Shen, Z ;

Long, SR ;

Wu, MLC ;

Shih, HH ;

Zheng, QN ;

Yen, NC ;

Tung, CC ;

Liu, HH .

PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 1998, 454 (1971) :903-995

[5]

Levy M., 1979, HDB PHYSL 2, P581

[6]

Ngo Linh, 2010, P 7 INT C INF TECHN

[7]

POSTOLACHE G, 2003, P 2003 IEEE CAN C EL, V3, P2083

[8]

Tavares C., 2010, FERRAMENTAS COMPUTAC

[9] BOUNDARY EXTENSION AND STOP CRITERIA FOR EMPIRICAL MODE DECOMPOSITION [J].

Wu, Qin ;

Riemenschneider, Sherman D. .

ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS, 2010, 2 (02) :157-169

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