Elimination of noise on transcranial Doppler signal using IIR filters designed with artificial bee colony - ABC-algorithm

KARABOĞA N., LATİFOĞLU F.

DIGITAL SIGNAL PROCESSING, cilt.23, sa.3, ss.1051-1058, 2013 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 23 Sayı: 3
  • Basım Tarihi: 2013
  • Doi Numarası: 10.1016/j.dsp.2012.09.015
  • Dergi Adı: DIGITAL SIGNAL PROCESSING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1051-1058
  • Anahtar Kelimeler: Artificial bee colony algorithm, IIR filter, Noise elimination, Transcranial Doppler signal, Particle swarm optimization, EFFICIENT ALGORITHM
  • Erciyes Üniversitesi Adresli: Evet

Özet

Biomedical signals are usually contaminated by noise generated from sources such as power line interference and disturbances produced by the movement of the recording electrodes. Also the signal-to-noise ratio of biomedical signals is usually quite low. In addition, biomedical signals often interfere with each other. Therefore, the filters employed for eliminating noise and interference are significant in the medical practice. Digital infinite impulse response (IIR) filters have shorter filter length than the finite impulse response (FIR) filters with the same frequency characteristic. Therefore, in this work, an approach based on digital IIR filters are described for the elimination of noise on transcranial Doppler by using artificial bee colony (ABC) which is a popular swarm based optimization algorithm introduced recently. Moreover, the performance of the proposed approach is compared to particle swarm optimization algorithm. (C) 2012 Elsevier Inc. All rights reserved.