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Application of LMS adaptive filters to signal estimation for tracking transient latency changes in short latency somatosensory evoked potentials

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2 Author(s)
A. M. Rog ; Naval Biodynamics Lab., New Orleans, LA, USA ; B. Kaufman

The noisy character of somatosensory evoked potential (SEP) signals acquired during human whole-body indirect impact acceleration experiments at the Naval Biodynamics Laboratory presents problems to researchers monitoring transient SEP latency changes. Standard ensemble averaging has proven to be an inadequate technique for this purpose. Least-mean-square (LMS) adaptive filtering is an effective means of improving the signal character of noisy signals. This study applies various EMS adaptive filters to simulated evoked potential data in order to ascertain the behavior of these filters under various noise and filter parameter conditions

Published in:

Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE

Date of Conference:

3-6 Nov 1994