Elimination of noise on transcranial Doppler signal using IIR filters designed with artificial bee colony – ABC-algorithm
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 interfer...
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| Published in | Digital signal processing Vol. 23; no. 3; pp. 1051 - 1058 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Inc
01.05.2013
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1051-2004 1095-4333 |
| DOI | 10.1016/j.dsp.2012.09.015 |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Latifoglu, Fatma Karaboga, Nurhan |
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| Cites_doi | 10.5772/6742 10.1109/MHS.1995.494215 10.1109/TUFFC.2006.1621500 10.1109/ICNN.1995.488968 10.1109/TBME.1974.324381 10.1016/S0301-5629(99)00024-1 10.1016/j.jfranklin.2008.11.003 10.1016/j.asoc.2007.05.007 10.1121/1.390733 10.1016/0929-8266(95)00135-2 10.1109/79.543974 10.1007/s10462-012-9328-0 10.1007/s10898-007-9149-x 10.1109/MCAS.2005.1405897 10.1177/016173468600800403 |
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| Keywords | Noise elimination Artificial bee colony algorithm IIR filter Particle swarm optimization Transcranial Doppler signal |
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| SubjectTerms | Algorithms Artificial bee colony algorithm Digital Doppler Doppler effect IIR filter IIR filters Impulse response Interference Noise Noise elimination Particle swarm optimization Swarm intelligence Transcranial Doppler signal |
| Title | Elimination of noise on transcranial Doppler signal using IIR filters designed with artificial bee colony – ABC-algorithm |
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