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KMID : 1011420120170020203
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Journal of Korean Ophthalmic Optics Society
2012 Volume.17 No. 2 p.203 ~ p.207
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De-Noising of Electroretinogram Signal Using Wavelet Transforms
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Seo Jung-Ick
Park Eun-Kyoo
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Abstract
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Purpose: Electroretinogram(ERG) signal noise as well as conducting other bio-signal measurement were generated. It was intened to enhance the accuracy of retinal-related diagnosis with removing signal noise.
Methods: Sampling signal was made with generating 60 Hz noise and white noise. The noise were removed using wavelet transforms and bandpass filter. De-noising frequency was compared with Fourier transform spectrum. Removed noises were compared numerically using SNR(signal to noise ratio).
Results: The result compared Fourier transform spectrum was showed that 60 Hz noise removed completely and most of white noise was removed by wavelet transforms. 60 Hz and the white noise remained using bandpass filters. The result compared SNR showed that wavelet transforms was 22.8638 and bandpass filter was 4.0961.
Conclusions: Wavelet transform showed less signal distortion in removing noise. ERG signal is expected to improve the accuracy of retinal-related diagnosis.
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KEYWORD
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Electroretinogram, Wavelet, Noise
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