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Determination of a New VLF Band in HRV for Ventricular Tachyarrhythmia Patients

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Abstract

This study presents a new very low frequency (VLF) band range in ventricular tachyarrhythmia patients and involves an approach for estimation of effect of VLF band on ventricular tachyarrhythmia patients. A model based on wavelet packets (WP) and multilayer perceptron neural network (MLPNN) is used for determination of effective VLF band in heart rate variability (HRV) signals. HRV is decomposed into sub-bands including very low frequency parts and variations of energy are analyzed. Domination test is done using MLPNN and dominant band is determined. As a result, a new VLF band was described in 0.0039063–0.03125 Hz frequency range. This method can be used for other bands or other arrhythmia patients. Especially, estimation of dominant band energy using this method can be helped to diagnose for applications where have important effect of characteristic band.

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Acknowledgments

The research has been supported by the Research Project Department of Akdeniz University, Antalya, Turkey. This study is a part of studies held by Akdeniz University Industrial and Medical Applications Microwave Research Center (IMAMWRC), signal and image processing laboratory and University of Technology Zurich, Department of R&D.

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Authors and Affiliations

  1. Golhisar Vocational School of Higher Edu., Mehmet Akif Ersoy University, Burdur, Turkey

    Suleyman Bilgin

  2. Department of Electrical and Electronics Engineering, Akdeniz University, Campus, Antalya, Turkey

    Omer H. Çolak

  3. Department of Electronics and Communication Engineering, Suleyman Demirel University, Campus, Isparta, Turkey

    Ovunc Polat

  4. Department of Electrical and Electronics Engineering, Sakarya University, Sakarya, Turkey

    Etem Koklukaya

Authors
  1. Suleyman Bilgin
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  2. Omer H. Çolak
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  3. Ovunc Polat
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  4. Etem Koklukaya
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Correspondence to Omer H. Çolak.

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Bilgin, S., Çolak, O.H., Polat, O. et al. Determination of a New VLF Band in HRV for Ventricular Tachyarrhythmia Patients. J Med Syst 34, 155–160 (2010). https://doi.org/10.1007/s10916-008-9227-8

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  • DOI: https://doi.org/10.1007/s10916-008-9227-8

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