基于神经网络的体感诱发电位检测生物噪声美白方法

Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society Pub Date : 1995-09-20 DOI:10.1109/IEMBS.1995.575371

D.B. Smith, D. Lovely

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引用次数: 1

摘要

匹配滤波器是检测隐藏在加性白噪声中的已知信号的最佳技术。表面记录的体感诱发电位被非白噪声破坏，因此必须在传递到匹配的滤波器之前进行漂白。作者评价了所选择的人工神经网络对记录的诱发电位噪声进行漂白的可行性。

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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 artificial neural networks in whitening the noise of recorded evoked potentials.

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Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society

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