Denoising of auditory brainstem response using diffusion and wavelet transform
Evoked Potentials are event-related activities that occurred as an electrical response from the brain to different sensory stimulations of nervous tissues. In this paper, auditory evoked potentials (AEP) brain responses were collected and examined. The data collection was done twice with three diffe...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/6571/ http://eprints.uthm.edu.my/6571/1/Denoising_of_Auditory_Brainstem.pdf |
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| Summary: | Evoked Potentials are event-related activities that
occurred as an electrical response from the brain to different
sensory stimulations of nervous tissues. In this paper, auditory
evoked potentials (AEP) brain responses were collected and
examined. The data collection was done twice with three different
levels of sound and frequencies. The auditory brain response
data was extracted from the noisy original data using the
averaging technique and set as a reference signal. We propose
new approaches for feature extraction of the auditory brain
response using wavelet transforms and diffusion filters
algorithms. The wavelet transform has the ability to resolve the
data into various levels of decomposition, which facilitate its
representation in the frequency and time domain. The diffusion
filters on the other hand enhanced the extracted signals resulting
in the noise suppression and thus reducing the error.
Performance analysis was done based on signal-to-noise ratio
(SNR), mean squared error (MSE) and peak-signal-to-noise ratio
(PSNR). The outcome shows that the diffusion technique
produces better performance than wavelet transform in all the
cases studied. |
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