ELECTRONEUROGRAM SIGNAL DETECTION WITH THIRD ORDER STATISTICS

摘要

The paper studies the detection of electroneurogram signals from measurements containing additive noise. A simulation was done in order to prove that averaging loses many responses to stimuli, if the signal-to-noise ratio is very low. Then, the median nerve electroneurogram blspectrum was computed and was used for reconstructing the clean ENG signal, without the Gaussian contribution that Is Inherently present In bloelectrical recordings, This technique was used for extracting the first Individual responses from real data.