Continuous Wavelet Transform of ECG signals can assist cardiologists in confirming LBBB diagnosis by identifying coefficient peaks in lower frequencies.
No study data in submission; leaves open any role for wavelet transform in confirming LBBB.
The shapes of wavelet transform of QRS complex in ECG signal for healthy patient and for patient with Left Bundle Branch Block (LBBB) are presented. The Continuous Wavelet Transform (CWT) is used with Morlet wavelet to analyze signals in Time-Frequency domain. In order to present results, CWT diagram is drawn using linear axis for translation in time and logarithmic axis for scale. By comparison of CWT diagrams for healthy and for patient with LBBB it is easy to clearly identify the differences in time-frequency coefficients of ECG signals mentioned. Peaks of the CWT coefficients are in higher frequencies for healthy patients and in lower frequencies for patients with LBBB. By using ECG signal waveform and CWT of the same signal, simultaneously, it would be easier, for cardiologist, to confirm LBBB diagnosis, because the peaks can be read in frequency axis. Ill. 4, bibl. 10 (in English; summaries in English, Russian and Lithuanian).
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Siniša Ilić (2007) studied Left Bundle Branch Block. Continuous Wavelet Transform of ECG Signal was evaluated.
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