To Develop an Improved High SNR Invasive Biomedical Signal Capture, Record and Analysis System from Three Depth of brain

碩士 === 國立臺北科技大學 === 電腦與通訊研究所 === 97 === Analysis of how the brain works has always been done by scientists. Precise measurement and analysis of the signal from the brain will directly help understand the brain and cure many diseases, such as Parkinson''s disease, epilepsy, amnesia, etc. Th...

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Bibliographic Details
Main Authors: Chung-Ling Tseng, 曾忠玲
Other Authors: Rong-Chin Lo
Format: Others
Language:en_US
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/6kd9m8
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Summary:碩士 === 國立臺北科技大學 === 電腦與通訊研究所 === 97 === Analysis of how the brain works has always been done by scientists. Precise measurement and analysis of the signal from the brain will directly help understand the brain and cure many diseases, such as Parkinson''s disease, epilepsy, amnesia, etc. The recent invasive biomedical signal capture and record system with a cerebral cortex invasion is expensive in terms of electrode, transmission, amplification, and analysis. Besides, since this system is especially designed for medical people, it is less flexible in use. Therefore, it becomes very important to study the brain with a multi-layer and high SNR neurons signal capture and record system, which will effectively enhance accuracy and precision in research.The current researches focus on reducing the volume and the weight of the system. For example, with RF wireless transmission, the weight of the system will be reduced and the movement of the SD Rat will be improved. However, the signal sampling rate can not be increased. The system using data acquisition is easily interfered by the environment, the power, and the inner system as well, which will lead to a failed promotion of capturing SNR signal. Thus, in addition to restrain noise signals, we designed a multi-channel wired system with the wave filter to capture and record signals for a long period of time, trying to decrease electromagnetic interference from inner-system and outer environment. We also raised the SNR signal to a great extent by adopting strategies of segregation, dredge, and inner control. The noise signals in the whole route are effectively controlled within 1μV, make EEG signal, from 10μV to 30μV, provide at least 20dB SNR signal and a very low coupled signal of alternating electricity.