Classification of sematosensory evoked potential waveforms

Abstract

The invention relates to a classifier of sematosensory evoked potential waveforms in a medical electric detector. An input signal of the classifier is a sematosensory evoked potential recorded singly. On the basis of a medium frequency value or the signal zero passage time the sematosensory evoked potential is divided into superposed valid signals and non-superposed invalid noise signals according to the noise infection degree, or divided into measurable valid signals or unmeasurable invalid noise signals. The sematosensory evoked potential waveforms can fast, accurately and effectively detect sematosensory evoked potential.