Title :
A neural network based approach to whitening biological noise for somatosensory evoked potential detection
Author :
Smith, Derek B. ; Lovely, Dennis F.
Author_Institution :
Inst. of Biomed. Eng., New Brunswick Univ., Fredericton, NB, Canada
Abstract :
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
Keywords :
bioelectric potentials; matched filters; medical signal processing; neural nets; signal detection; somatosensory phenomena; white noise; corrupted potentials; electrodiagnostics; known signal detection; neural network based approach; nonwhite noise; optimal technique; selected artificial neural networks viability; somatosensory evoked potential detection; whitening biological noise; Artificial neural networks; Background noise; Bandwidth; Biomedical measurements; Biomedical monitoring; Interference; Matched filters; Neural networks; Signal to noise ratio; Testing;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.575371
