Adaptive filtering noisy transcranial Doppler signal by using artificial bee colony algorithm

KARABOĞA N., LATİFOĞLU F.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, cilt.26, sa.2, ss.677-684, 2013 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 26 Sayı: 2
  • Basım Tarihi: 2013
  • Doi Numarası: 10.1016/j.engappai.2012.10.011
  • Dergi Adı: ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.677-684
  • Anahtar Kelimeler: Artificial bee colony algorithm, PSO algorithm, DE algorithm, Adaptive IIR filter, Noise elimination, Transcranial Doppler signal, EFFICIENT ALGORITHM, ABC ALGORITHM, CANCELLATION, BLOOD
  • Erciyes Üniversitesi Adresli: Evet

Özet

Computerized processes are supportive in the new age of medical treatment. Biomedical signals which are collected from the human body supply or important useful data that are related with the biological actions of human body organs. However, these signals may also contain some noise. Heart waves are commonly classified as biomedical signals and are non-stationary due to their statistical specifications. The probability distributions of the noise are very different, and for this reason there is no common method to remove the noise. In this study, adaptive filters are used for noise elimination and the transcranial Doppler signal is analyzed. The artificial bee colony algorithm was employed to design the adaptive IIR filters for noise elimination on the transcranial Doppler signal and the results were compared to those obtained by the methods based on popular and recently introduced evolutionary algorithms and conventional methods. (C) 2012 Elsevier Ltd. All rights reserved.