Detection of Frequency Sub-Bands on Heart Rate Variability in Supra-Ventricular Tachyarrhythmia Patients Using Artificial Neural Networks

Bilgin S., Bilgin G., ÇOLAK Ö. H., Koklukaya E.

14th National Biomedical Engineering Meeting, İzmir, Türkiye, 20 - 22 Mayıs 2009, ss.13-14 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/biyomut.2009.5130252
  • Basıldığı Şehir: İzmir
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.13-14
  • Akdeniz Üniversitesi Adresli: Evet

Özet

Supra-ventricular Tachyarrhythmia (SVTA) called as disturbances of heart around atria and Atrioventricular (AV) node is one of the most common heart arrhythmias. Heart Rate Variability (HRV) is a pointer for classification of Autonomic Nervous System (ANS) and Heart Arrhythmias. Wavelet packet Transform (WPT) is an efficient tool for HRV like non stationary signals. This study presents critical frequency intervals for HRV analysis in SVTA patients and the effectiveness of these frequency intervals on base-bands. In the study, sub-frequency regions on HRV in MIT-BIH SVTA database obtained from half-hour ECG recordings of 78 patients are calculated and analyzed. Each data is decomposed in sub-frequency region using WPT with 8 levels and their domination effects of each sub-frequency region on its base-band are evaluated using Multi Layer Perceptron Neural Networks (MLPNN).