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Wavelet ECG Analysis in Time-Frequency Domain of the QRS-Complex in Individuals with Left Bundle Branch Block

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Precision Medicine Powered by pHealth and Connected Health (ICBHI 2017)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 66))

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Abstract

LBBB in heart failure patients is a negative predictor for survival. This pattern is also recorded in individuals without significant structural heart diseases. The LBBB morphology has not been previously analysed using wavelet analysis in time-frequency domain in order to identify markers which distinguish these patients. The purpose of this analysis is to investigate if there are any differences in LBBB morphology between normal individuals with LBBB and patients with heart failure and LBBB. Signal-averaged electrocardiograms were recorded, in orthogonal leads and QRS decomposition in nine (9) time-frequency segments was performed using the ‘cmor’ wavelet transformation. Seventy (70) patients (mean age 66, 47 male) were studied. The mean and maximum energies of the QRS complexes were calculated in each of the 9 time-frequency segment. Wavelet parameters of the QRS complex in all segments were higher for normal individuals without LBBB. In the Z lead, the differences in mean QRS energies are significant between the two groups especially in the high frequency band (150–200 Hz) in all time segment whereas the mean energy in X lead presents significant difference in median frequency band (100–150 Hz) in the first time segment. In conclusion wavelet transformation of the QRS complex could differentiate normal individuals from heart failure patients with LBBB.

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Authors and Affiliations

  1. Laboratory of Medical Informatics, Medical School, Aristotle University, 1,St.Kyriakidi, Thessaloniki, Greece

    Kalliopi Papathoma, Nikolaos Maglaveras & Ioanna Chouvarda

  2. First Department of Cardiology, AHEPA University Hospital, Aristotle University Medical School, Thessaloniki, Greece

    Stavros Chatzimiltiadis & Dimitrios Konstantinou

  3. Third Department of Cardiology, HIPOKRATIO University Hospital, Aristotle University Medical School, Thessaloniki, Greece

    Efstratios Theofilogiannakos & Vassilios Vassilikos

Authors
  1. Kalliopi Papathoma
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  2. Stavros Chatzimiltiadis
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  3. Nikolaos Maglaveras
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  4. Ioanna Chouvarda
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  5. Efstratios Theofilogiannakos
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  6. Dimitrios Konstantinou
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  7. Vassilios Vassilikos
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Corresponding author

Correspondence to Kalliopi Papathoma .

Editor information

Editors and Affiliations

  1. Department of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece

    Nicos Maglaveras

  2. Department of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece

    Ioanna Chouvarda

  3. Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal

    Paulo de Carvalho

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Papathoma, K. et al. (2018). Wavelet ECG Analysis in Time-Frequency Domain of the QRS-Complex in Individuals with Left Bundle Branch Block. In: Maglaveras, N., Chouvarda, I., de Carvalho, P. (eds) Precision Medicine Powered by pHealth and Connected Health. ICBHI 2017. IFMBE Proceedings, vol 66. Springer, Singapore. https://doi.org/10.1007/978-981-10-7419-6_30

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  • DOI: https://doi.org/10.1007/978-981-10-7419-6_30

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7418-9

  • Online ISBN: 978-981-10-7419-6

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