A neural network based approach to whitening biological noise for somatosensory evoked potential detection

A matched filter is the optimal technique for detecting a known signal buried in additive white noise. Surface recorded somatosensory evoked potentials are corrupted with non-white noise, and so must be whitened before being passed to a matched filter. The authors evaluated the viability of selected...

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Bibliographic Details
Main Authors: Smith, D.B., Lovely, D.F.
Format: Conference Proceeding
Language:English
Subjects:
Artificial neural networks
Background noise
Bandwidth
Biomedical measurements
Biomedical monitoring
Interference
Matched filters
Neural networks
Signal to noise ratio
Testing
Online Access:Request full text
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Summary:A matched filter is the optimal technique for detecting a known signal buried in additive white noise. Surface recorded somatosensory evoked potentials are corrupted with non-white noise, and so must be whitened before being passed to a matched filter. The authors evaluated the viability of selected artificial neural networks in whitening the noise of recorded evoked potentials.
DOI:10.1109/IEMBS.1995.575371