A Fully Automatic Novel Method to Determine QT Interval Based on Continuous Wavelet Transform

Year 2017, Volume: 17 Issue: 1, 3103 - 3111, 27.03.2017

Cüneyt Yılmaz Mehmet İşcan Abdurrahman Yılmaz

Abstract

Nowadays, automatic recognition algorithm
is being frequently utilized to extract the information concerning cardiac
abnormalities. In this study, a fully automatic novel method based on the continuous
wavelet transform (CWT) was developed for QT intervals in various ECG signals.
Especially, the determination of T-wave end is the paramount problem to be
solved.The developed method was performed to find the beginning of QRS
complexes and the end of T-wave. The proposed algorithm was tested on
MIT-BIH-NSR database given by QT database, then, it yielded the scores 15.17
milliseconds and root-mean-square error of 17.19 milliseconds at silver
standard, 19.22 milliseconds and 20.22 milliseconds at gold standard,
respectively. In conclusion, the proposed algorithm is a fully automatic method
to attain a high performance in the calculation of QT intervals at various ECG
signals.

Keywords

ECG Signal, QT interval, ECG signal classification, Pan-Tompkins Algorithm, Continuous Wavelet Transform

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