單通道腦波量測系統的研製及睡眠腦波之分析研究

A Single channel EEG system design and EEG signals analysis for sleep and awake

胡國甫(Guo-Fu Hu)

指導教授 ： 謝建興

元智大學/工程學院/機械工程學系/碩士(2003年)

摘要

腦電圖（EEG）在醫療上除了被用來當作診斷相關腦病變的依據外，也常被運用於判斷人體的生理與精神狀態。一般用於醫療用診斷的腦波機皆屬於多通道的系統，造價昂貴、體積龐大。
本論文主要的目的是要設計了一套低價位、體積小，便於攜帶的單通道腦波量測分析系統，不僅可以作為一般醫療量測之用，還期望能應用於睡眠品質分析之研究。
在本論文後段我們亦嘗試使用自製腦電圖系統對於5位正常人做臨床上的清醒與睡眠腦波實驗，並以傅立業轉換（FFT）作分析。一方面驗證了自製腦波系統的可行性，另一方面也提供我們後續睡眠研究的寶貴資料。

關鍵字

腦電圖 ； 傅立業轉換

並列摘要

The control system of human central nervous system (CNS) is complex. Electroencephalogram (EEG) is one tool to explore the physiological function of brain. It is widely used to diagnose clinical CNS syndromes, such as epilepsy, brain tumor, Parkinson’s disease, etc. However, mostly commercial EEG instruments belong to multi-channel, high price and too big for portable usage.
Hence, our thesis tries to design a low price, small volume and single channel of EEG device for easy portable usage. It can use for medical measurements .We used the fourier transform analysis for five volunteers at each time domain in the awake and sleep EEG signals. We found significant differences in sleep and awake waves form according to the volunteers’ sleep and awake statuses. The successful results are given us to have the confidence to test this EEG device in the clinical trials in the near future.

並列關鍵字

Central nervous system ； electroencephalogram ； EEG pattern ； fourier transform analysis

參考文獻

[4] Btuoe J.F “Spehlmann’s EEG Primer ” Second Revised and Enlarged Edition 1991

[5] Gubner J.A., Chang W.B., “Wavelet transforms for discrete-time periodic signals”, Signal Processing, Vol. 42, 1995, Page(s): 167-180

[6] Geva A.B., Kerem D.H., “Forecasting Generalized Epileptic seizures from the EEG signal by wavelet analysis and dynamic unsupervised fuzzy clustering”, IEEE Transactions On Biomedical Engineering, Vol. 45, No.10, 1998, Page(s): 1205-1216

[7] Glass PS, Bloom M, Kearse L,” Bispectral analysis measures sedation and memory effects of propofol, midazolam, isoflurane, and alfentanil in healthy volunteers”, Anesthesiology, Vol.86, No.4, 1997, Page(s): 836-847

[8] Sclabassi R.J., Sun M., Qian S. “Localizing Functional Activity in the Brain Through Time-Frequency Analysis and Synthesis of the EEG”, Proceedings of the IEEE, Vol.84, No.9, 1996, Page(s): 1302-1311