- 學位論文
研製一套改進之高SNR侵入式三層腦部生醫訊號擷取、紀錄與分析系統
To Develop an Improved High SNR Invasive Biomedical Signal Capture, Record and Analysis System from Three Depth of brain
摘要
分析大腦的運作方式一直都是科學家們想要知道的，如何精準的量測與分析其腦部訊號，將可以直接的幫助人們更快了解大腦與治療許多疾病，如:帕金森氏症、癲癇、阿茲海默氏症…等。當前『侵入式腦皮質生醫訊號擷取紀錄系統』在電極、傳輸、放大及分析系統，整體而言相當昂貴，且專為醫事人員設計，使用彈性相當低。而多層高訊噪比神經元電生理擷取紀錄系統在大腦研究是很重要的，將可有效的提高研究的準確度與精密度，目前研究著重於縮小系統體積與重量，如使用RF無線傳輸來降低系統重量，提高SD Rat的行動能力，但是信號取樣率無法提高；Data acquisition系統也容易受到環境與電源干擾以及自身系統的干擾，導致擷取的訊號SNR無法提高，除了使用濾波器來抑制雜訊外，我們設計一個有線的多通道長時間三層訊號擷取記錄系統，量測大腦三個不同深度的神經訊號，分析其相關性幫助了解神經訊號的傳遞方式，並試圖降低這個系統內部及外在環境電磁干擾，採取隔離、疏導和內部控制的對策，大幅提升信號SNR。有效的控制整體路徑上的雜訊準位在1μV以下，使得10μV~30μV的EEG訊號，至少提供20 dB以上的SNR以及極低的交流電源訊號耦合。
並列摘要
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.