| Summary: | 碩士 === 國立臺灣大學 === 電機工程學系研究所 === 86 === Evoked Potential is an important field in brain neural science. By stimula
ting method, it can transfer the outer stimulating message to cortex and evoke
the voltage change of brain cell spontaneous activity. There are three main u
se in clinical application. Including Visual Evoked Potential (VEP), Brain Aud
itory Evoke Potential (BAEP), Somatosensory Evoked Potential (SEP). The three
check method can test visual, auditory, somatosensory transfer path and apply
to neural disorder diagnois. Now averaging method is used to process evoked
potential in clinical use. But according averaging method to process evoked p
otential,there are disadvantages of evoked potential wave with sensitive to sm
all variety and too many test number. In this study, I use the adpative signal
theory of digitalsignal process to analysis the data of rats and man. The sig
nal process structure is adaptive signal enhancementfilter (ASE Filter). Algor
ithms that I take are least mean square (LMS) and recursive least squares (RLS
). The study results show that least mean square method and recursive leas
t squares method can make the purpose of reducing experiment number. Especiall
y the performance of least mean square method is obvious.
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