Abstract
The Doppler signal of mitral valve is a biomedical signals and it is acquired by Doppler ultrasound device from mitral valve of hearth. It contains useful information about mitral valve and it can be used to diagnose mitral valve diseases by doctors. However, biomedical signal might be contaminated with noise or disruptive interference. In literature, different approaches have been introduced to remove the noise or interference from biomedical signal, but adaptive filtering is most popular technique for noise filtering. Therefore, a novel adaptive noise cancellation techniques based FIR digital filter was proposed using artificial bee colony algorithm (ABC) and it is employed for the noise reduction on noisy mitral valve Doppler signal. So, the meaningful data about mitral valve was saved to diagnose mitral valve diseases using denoising approach. Then, this novel approach was compared with the other methods suggested in literature such as recursive least square (RLS) algorithm or discrete wavelet transform (DWT). Also, to demonstrate the efficiency, different digital filter order and noise cases were used suggested in literature.DOI: http://dx.doi.org/10.5755/j01.eie.24.5.21845
Highlights
Mitral valve diseases are diagnosed by different diagnosis techniques such as Doppler ultrasound, ECG or invasive techniques
The results show the difference in effectiveness and robustness between the novel adaptive filtering based artificial bee colony (ABC) algorithm and other techniques for noise reduction process of the Doppler signal
Mitral valve Doppler signal plays an important role to early diagnose mitral valve diseases and more meaningful and exact Doppler signal make easy the diagnostic procedure
Summary
Mitral valve diseases are diagnosed by different diagnosis techniques such as Doppler ultrasound, ECG (electrocardiography) or invasive techniques (e.g., angiography). In analysis and synthesis filter designs, mitral valve Doppler signal were successively reconstructed using QMF bank design based ABC algorithm in terms of phase delay and amplitude distortion [4]. In recent years, the design problem of the adaptive filter has been examined using the ABC algorithm for biomedical signal processing [6], [7]– [21]. A novel adaptive filtering approach based FIR filter using ABC algorithm is suggested to remove the undesired noise from the Doppler signal by using digital FIR filter. The results show the difference in effectiveness and robustness between the novel adaptive filtering based ABC algorithm and other techniques for noise reduction process of the Doppler signal.
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