Analysis of ENG Signal from Primary Motor Cortex of Rats Using ICA and Subtractive Clustering

• Main Authors: Jung-Jing Wang, 王中敬
• Other Authors: 駱榮欽
• Format: Others
• Language: en_US
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/w2u56x

碩士 === 國立臺北科技大學 === 自動化科技研究所 === 96 === In the study, we propose an effective method using ICA and subtractive clustering to analyze (Electroneurography) ENG signal of the rat. We have completed the system which can record 8-channel ENG signal. Using the 8-channel multi-electrode array and then implant it into the primary motor cortex of rats. The signal is amplified through front-stage amplitude circuit and after-stage amplitude band-pass filter circuit. And, we record the ENG signal into PC through A/D card. When recording the ENG signal, we also synchronously monitor the activity images of rats at the same time. After recording we employ to ICA method, we get independent sources as possible as we can. But the independent sources still have some problems. It is difficult to determine the order, weight, and the scaling of independent sources. We develop a matching source method to solve this problem, and we used the subtractive clustering which can classify the ENG signal of rats. The result we can meaningfully distinguish relation between the ENG signal and the activity of rats.