Morphology-based QT interval measurement using frame-based representation of the ECG signal

Alireza Ghodrati, Abbas Babajani-Feremi

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

We propose a new method for QT interval measurement which first detects the morphology of the Twave and then finds the T-end according to the detected morphology. The proposed method has more emphasis on detection of the T-wave morphology which helps more accurate detection of the T-end and better lead selection for QT interval measurement. Six types of T-wave morphologies (normal, invert, biphase +-, biphase-+, only upward and only downward) have been considered and a rule-based algorithm employed to detect the Twave morphology by examining the primitive components. Followed by the detection of the morphology, the T-end is determined as the point on the signal that has maximum distance to the line representing the last segment of the T-wave. The proposed method has been tested against the QT database available on Physionet. The mean difference between the T-end in the reference annotation and the calculated one by our method is 0.9 ms and the standard deviation is 18.9 ms.

Original languageEnglish (US)
Article number7043047
Pages (from-to)333-336
Number of pages4
JournalComputing in Cardiology
Volume41
Issue numberJanuary
StatePublished - Jan 1 2014

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Electrocardiography
Databases

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Cardiology and Cardiovascular Medicine

Cite this

Morphology-based QT interval measurement using frame-based representation of the ECG signal. / Ghodrati, Alireza; Babajani-Feremi, Abbas.

In: Computing in Cardiology, Vol. 41, No. January, 7043047, 01.01.2014, p. 333-336.

Research output: Contribution to journalConference article

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