Continuous and online analysis of heart rate variability

H. L. Chan; W. S. Chou; S. W. Chen; S. C. Fang; C. S. Liou; Y. S. Hwang

doi:10.1080/03091900512331332587

Continuous and online analysis of heart rate variability

H. L. Chan^*
, W. S. Chou
, S. W. Chen
, S. C. Fang
, C. S. Liou
, Y. S. Hwang

^*Corresponding author for this work

Lunghwa University of Science and Technology
Chang Gung University
National Taipei University of Technology

Research output: Contribution to journal › Journal Article › peer-review

24 Scopus citations

Abstract

Spectral analysis of heart rate variability provides a probe to assess the function of the sympathetic and parasympathetic nervous systems. Time-frequency analysis of heart rate variability is useful for investigating autonomic nervous function in patients with syncope or non-sustained ventricular tachycardia, or in anaesthesia, etc. In this paper, we developed an algorithm for continuous and online analysis of heart rate variability. The algorithm was simulated and evaluated in MATLAB, and implemented on the digital signal processor. The electrocardiogram signals from MIT/BIH arrhythmia database and one patient with syncope demonstrate the capability of the proposed method in the continuous and online analysis of heart rate variability.

Original language	English
Pages (from-to)	227-234
Number of pages	8
Journal	Journal of Medical Engineering and Technology
Volume	29
Issue number	5
DOIs	https://doi.org/10.1080/03091900512331332587
State	Published - 09 2005

Keywords

Heart rate variability
Online analysis
QRS detection

Access to Document

10.1080/03091900512331332587

Cite this

@article{8491509fa38245fa8a1e265f249f0181,

title = "Continuous and online analysis of heart rate variability",

abstract = "Spectral analysis of heart rate variability provides a probe to assess the function of the sympathetic and parasympathetic nervous systems. Time-frequency analysis of heart rate variability is useful for investigating autonomic nervous function in patients with syncope or non-sustained ventricular tachycardia, or in anaesthesia, etc. In this paper, we developed an algorithm for continuous and online analysis of heart rate variability. The algorithm was simulated and evaluated in MATLAB, and implemented on the digital signal processor. The electrocardiogram signals from MIT/BIH arrhythmia database and one patient with syncope demonstrate the capability of the proposed method in the continuous and online analysis of heart rate variability.",

keywords = "Heart rate variability, Online analysis, QRS detection",

author = "Chan, \{H. L.\} and Chou, \{W. S.\} and Chen, \{S. W.\} and Fang, \{S. C.\} and Liou, \{C. S.\} and Hwang, \{Y. S.\}",

year = "2005",

month = sep,

doi = "10.1080/03091900512331332587",

language = "英语",

volume = "29",

pages = "227--234",

journal = "Journal of Medical Engineering and Technology",

issn = "0309-1902",

publisher = "Taylor and Francis Ltd.",

number = "5",

}

TY - JOUR

T1 - Continuous and online analysis of heart rate variability

AU - Chan, H. L.

AU - Chou, W. S.

AU - Chen, S. W.

AU - Fang, S. C.

AU - Liou, C. S.

AU - Hwang, Y. S.

PY - 2005/9

Y1 - 2005/9

N2 - Spectral analysis of heart rate variability provides a probe to assess the function of the sympathetic and parasympathetic nervous systems. Time-frequency analysis of heart rate variability is useful for investigating autonomic nervous function in patients with syncope or non-sustained ventricular tachycardia, or in anaesthesia, etc. In this paper, we developed an algorithm for continuous and online analysis of heart rate variability. The algorithm was simulated and evaluated in MATLAB, and implemented on the digital signal processor. The electrocardiogram signals from MIT/BIH arrhythmia database and one patient with syncope demonstrate the capability of the proposed method in the continuous and online analysis of heart rate variability.

AB - Spectral analysis of heart rate variability provides a probe to assess the function of the sympathetic and parasympathetic nervous systems. Time-frequency analysis of heart rate variability is useful for investigating autonomic nervous function in patients with syncope or non-sustained ventricular tachycardia, or in anaesthesia, etc. In this paper, we developed an algorithm for continuous and online analysis of heart rate variability. The algorithm was simulated and evaluated in MATLAB, and implemented on the digital signal processor. The electrocardiogram signals from MIT/BIH arrhythmia database and one patient with syncope demonstrate the capability of the proposed method in the continuous and online analysis of heart rate variability.

KW - Heart rate variability

KW - Online analysis

KW - QRS detection

UR - https://www.scopus.com/pages/publications/25144468323

U2 - 10.1080/03091900512331332587

DO - 10.1080/03091900512331332587

M3 - 文章

C2 - 16126583

AN - SCOPUS:25144468323

SN - 0309-1902

VL - 29

SP - 227

EP - 234

JO - Journal of Medical Engineering and Technology

JF - Journal of Medical Engineering and Technology

IS - 5

ER -

Continuous and online analysis of heart rate variability

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this