Adaptive Signal Process Applied in Evoked Potential

• Main Authors: Liu, Chien-Lin, 劉劍靈
• Other Authors: Pu-Ching Chang
• Format: Others
• Language: zh-TW
• Published: 1998
• Online Access: http://ndltd.ncl.edu.tw/handle/69700008788259749711

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.