A semi-automatic QT interval measurement based on digital filters

C. Y. Wu, Hung Wen Chiu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The QT interval of ECG signal, a representative duration of cardiac cell activation, has been evidenced to correlate with cardiac disease or drug. Therefore the accurate QT measurement is important for clinical diagnosis and prognosis. In this paper we developed and presented a semi-automatic QT interval measurement method to participate the 2006 computers in cardiology challenge. This method locates the major markers of ECG signals (the P, Q, R, S T waves) based on digital filtering and predefined conditions in waveform. First a proper lead was select to measure the QT interval by manually inspection. The proper lead was defined as in which there are obvious upward R and T waves after 0.4-50 Hz band-pass filtering to diminish the noise and baseline wandering. Then R waves were found as local maxima after applying thresholding techniques. After the approximated first deviation of the filtered ECG (dECG) was obtained by difference filter, the Q onsets were located as the second cross-zero point of dECG 2-120 ms upstream R waves and the ends of T waves were located as the intercept of the filtered ECG signal and the line passing through T peak and maximum slope point on T wave. A visualization interface to display the characteristic markers on the ECG waveform was used to inspect the primary results and thus a representative beat could be manually selected as a final result. This method involves tow-steps manually intervention to raise the accuracy of QT measurement. However, these tow-steps are not time-consumed and easy for users with minimum knowledge of interpreting ECG. Finally an automatic method was developed by using the mean of 12 leads as processed signal.

Original languageEnglish
Title of host publicationComputers in Cardiology
Pages317-320
Number of pages4
Volume33
Publication statusPublished - 2006
Event2006 Computers in Cardiology, CIC - Valencia, Spain
Duration: Sep 17 2006Sep 20 2006

Other

Other2006 Computers in Cardiology, CIC
CountrySpain
CityValencia
Period9/17/069/20/06

Fingerprint

Digital filters
Electrocardiography
Lead
Cardiology
Noise
Heart Diseases
Visualization
Inspection
Chemical activation
Pharmaceutical Preparations

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Software

Cite this

Wu, C. Y., & Chiu, H. W. (2006). A semi-automatic QT interval measurement based on digital filters. In Computers in Cardiology (Vol. 33, pp. 317-320). [4511852]

A semi-automatic QT interval measurement based on digital filters. / Wu, C. Y.; Chiu, Hung Wen.

Computers in Cardiology. Vol. 33 2006. p. 317-320 4511852.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Wu, CY & Chiu, HW 2006, A semi-automatic QT interval measurement based on digital filters. in Computers in Cardiology. vol. 33, 4511852, pp. 317-320, 2006 Computers in Cardiology, CIC, Valencia, Spain, 9/17/06.
Wu CY, Chiu HW. A semi-automatic QT interval measurement based on digital filters. In Computers in Cardiology. Vol. 33. 2006. p. 317-320. 4511852
Wu, C. Y. ; Chiu, Hung Wen. / A semi-automatic QT interval measurement based on digital filters. Computers in Cardiology. Vol. 33 2006. pp. 317-320
@inproceedings{6bb0b55994474ca9a2b2220bec1dabc4,
title = "A semi-automatic QT interval measurement based on digital filters",
abstract = "The QT interval of ECG signal, a representative duration of cardiac cell activation, has been evidenced to correlate with cardiac disease or drug. Therefore the accurate QT measurement is important for clinical diagnosis and prognosis. In this paper we developed and presented a semi-automatic QT interval measurement method to participate the 2006 computers in cardiology challenge. This method locates the major markers of ECG signals (the P, Q, R, S T waves) based on digital filtering and predefined conditions in waveform. First a proper lead was select to measure the QT interval by manually inspection. The proper lead was defined as in which there are obvious upward R and T waves after 0.4-50 Hz band-pass filtering to diminish the noise and baseline wandering. Then R waves were found as local maxima after applying thresholding techniques. After the approximated first deviation of the filtered ECG (dECG) was obtained by difference filter, the Q onsets were located as the second cross-zero point of dECG 2-120 ms upstream R waves and the ends of T waves were located as the intercept of the filtered ECG signal and the line passing through T peak and maximum slope point on T wave. A visualization interface to display the characteristic markers on the ECG waveform was used to inspect the primary results and thus a representative beat could be manually selected as a final result. This method involves tow-steps manually intervention to raise the accuracy of QT measurement. However, these tow-steps are not time-consumed and easy for users with minimum knowledge of interpreting ECG. Finally an automatic method was developed by using the mean of 12 leads as processed signal.",
author = "Wu, {C. Y.} and Chiu, {Hung Wen}",
year = "2006",
language = "English",
isbn = "1424425328",
volume = "33",
pages = "317--320",
booktitle = "Computers in Cardiology",

}

TY - GEN

T1 - A semi-automatic QT interval measurement based on digital filters

AU - Wu, C. Y.

AU - Chiu, Hung Wen

PY - 2006

Y1 - 2006

N2 - The QT interval of ECG signal, a representative duration of cardiac cell activation, has been evidenced to correlate with cardiac disease or drug. Therefore the accurate QT measurement is important for clinical diagnosis and prognosis. In this paper we developed and presented a semi-automatic QT interval measurement method to participate the 2006 computers in cardiology challenge. This method locates the major markers of ECG signals (the P, Q, R, S T waves) based on digital filtering and predefined conditions in waveform. First a proper lead was select to measure the QT interval by manually inspection. The proper lead was defined as in which there are obvious upward R and T waves after 0.4-50 Hz band-pass filtering to diminish the noise and baseline wandering. Then R waves were found as local maxima after applying thresholding techniques. After the approximated first deviation of the filtered ECG (dECG) was obtained by difference filter, the Q onsets were located as the second cross-zero point of dECG 2-120 ms upstream R waves and the ends of T waves were located as the intercept of the filtered ECG signal and the line passing through T peak and maximum slope point on T wave. A visualization interface to display the characteristic markers on the ECG waveform was used to inspect the primary results and thus a representative beat could be manually selected as a final result. This method involves tow-steps manually intervention to raise the accuracy of QT measurement. However, these tow-steps are not time-consumed and easy for users with minimum knowledge of interpreting ECG. Finally an automatic method was developed by using the mean of 12 leads as processed signal.

AB - The QT interval of ECG signal, a representative duration of cardiac cell activation, has been evidenced to correlate with cardiac disease or drug. Therefore the accurate QT measurement is important for clinical diagnosis and prognosis. In this paper we developed and presented a semi-automatic QT interval measurement method to participate the 2006 computers in cardiology challenge. This method locates the major markers of ECG signals (the P, Q, R, S T waves) based on digital filtering and predefined conditions in waveform. First a proper lead was select to measure the QT interval by manually inspection. The proper lead was defined as in which there are obvious upward R and T waves after 0.4-50 Hz band-pass filtering to diminish the noise and baseline wandering. Then R waves were found as local maxima after applying thresholding techniques. After the approximated first deviation of the filtered ECG (dECG) was obtained by difference filter, the Q onsets were located as the second cross-zero point of dECG 2-120 ms upstream R waves and the ends of T waves were located as the intercept of the filtered ECG signal and the line passing through T peak and maximum slope point on T wave. A visualization interface to display the characteristic markers on the ECG waveform was used to inspect the primary results and thus a representative beat could be manually selected as a final result. This method involves tow-steps manually intervention to raise the accuracy of QT measurement. However, these tow-steps are not time-consumed and easy for users with minimum knowledge of interpreting ECG. Finally an automatic method was developed by using the mean of 12 leads as processed signal.

UR - http://www.scopus.com/inward/record.url?scp=50149108784&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=50149108784&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:50149108784

SN - 1424425328

SN - 9781424425327

VL - 33

SP - 317

EP - 320

BT - Computers in Cardiology

ER -