Wavelet analysis of the timing of individual components of the ECG signal

M. J. Burke; M. Nasor

Wavelet analysis of the timing of individual components of the ECG signal

M. J. Burke
, M. Nasor

Trinity College Dublin

Research output: Contribution to journal › Conference article › peer-review

3 Scopus citations

Abstract

ECG recordings were obtained from 21 healthy subjects aged between 13 and 65 years, over a range of heart rate extending from 46 to 184 beats/min (bpm). A wavelet transform method, based on the Mexican Hat wavelet was then used to precisely locate the positions of the onset, peak and termination of individual components in the ECG signal. These times were then classified according to the heart rate associated with the cardiac cycle to which the component belonged. Second order equations in the square root of the cardiac cycle time, T_R-R of the form A.√T_R-R + B.T_R-R + C were fitted to the data obtained for each component to characterize its timing variation.

Original language	English
Pages (from-to)	1037-1040
Number of pages	4
Journal	Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume	2
State	Published - 2001
Externally published	Yes
Event	2001 IEEE International Conference on Acoustics, Speech, and Signal Processing - Salt Lake, UT, United States Duration: 7 May 2001 → 11 May 2001

Cite this

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title = "Wavelet analysis of the timing of individual components of the ECG signal",

abstract = "ECG recordings were obtained from 21 healthy subjects aged between 13 and 65 years, over a range of heart rate extending from 46 to 184 beats/min (bpm). A wavelet transform method, based on the Mexican Hat wavelet was then used to precisely locate the positions of the onset, peak and termination of individual components in the ECG signal. These times were then classified according to the heart rate associated with the cardiac cycle to which the component belonged. Second order equations in the square root of the cardiac cycle time, TR-R of the form A.√TR-R + B.TR-R + C were fitted to the data obtained for each component to characterize its timing variation.",

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journal = "Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing",

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note = "2001 IEEE International Conference on Acoustics, Speech, and Signal Processing ; Conference date: 07-05-2001 Through 11-05-2001",

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T1 - Wavelet analysis of the timing of individual components of the ECG signal

AU - Burke, M. J.

AU - Nasor, M.

PY - 2001

Y1 - 2001

N2 - ECG recordings were obtained from 21 healthy subjects aged between 13 and 65 years, over a range of heart rate extending from 46 to 184 beats/min (bpm). A wavelet transform method, based on the Mexican Hat wavelet was then used to precisely locate the positions of the onset, peak and termination of individual components in the ECG signal. These times were then classified according to the heart rate associated with the cardiac cycle to which the component belonged. Second order equations in the square root of the cardiac cycle time, TR-R of the form A.√TR-R + B.TR-R + C were fitted to the data obtained for each component to characterize its timing variation.

AB - ECG recordings were obtained from 21 healthy subjects aged between 13 and 65 years, over a range of heart rate extending from 46 to 184 beats/min (bpm). A wavelet transform method, based on the Mexican Hat wavelet was then used to precisely locate the positions of the onset, peak and termination of individual components in the ECG signal. These times were then classified according to the heart rate associated with the cardiac cycle to which the component belonged. Second order equations in the square root of the cardiac cycle time, TR-R of the form A.√TR-R + B.TR-R + C were fitted to the data obtained for each component to characterize its timing variation.

UR - https://www.scopus.com/pages/publications/0034842294

M3 - Conference article

AN - SCOPUS:0034842294

SN - 1520-6149

VL - 2

SP - 1037

EP - 1040

JO - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

JF - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

T2 - 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing

Y2 - 7 May 2001 through 11 May 2001

ER -

Wavelet analysis of the timing of individual components of the ECG signal

Abstract

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