以雙核心處理器為基礎之即時嵌入式無線腦波訊號感測與處理系統及其在駕駛員瞌睡偵測之應用

Abstract

以往多通道腦波量測記錄儀存在著面積龐大、使用不便以及攜帶不易等問題，且這些系統大多只做到記錄部分，再藉由電腦進行後續離線處理。本論文結合腦波訊號放大器、無線傳輸及嵌入式系統等技術，開發一套可攜式即時嵌入式無線腦波訊號感測與處理系統以實際應用於日常生活當中。 本系統之開發流程分為三個階段，分別為「腦電位訊號量測與藍芽無線傳輸」、「OMAP嵌入式系統平台建構」、「腦波訊號處理之實現與應用」。首先是以藍芽協定做為傳輸介面，並整合生理量測放大器電路，將所量測的腦電位訊號進行無線傳輸。其次，以OMAP 為發展平台，並於上開發一套適合用於雙核心架構處理器- OMAP 的即時嵌入式作業系統來無線接收腦電位訊號。最後，本論文在此嵌入式系統中利用DSP Gateway機制將腦波分析演算法交由ARM和DSP分工處理，建構一駕駛員精神認知狀態系統，以驗證其即時進行駕駛員精神認知狀態估測之能力。

In this thesis, a portable Real-Time Wireless Embedded Brain Signal Acquisition / Processing System is developed. It combines electroencephalogram signal amplifier technique, wireless transimission technique, and embedded real-time system. This system is convenient for people used in daily life. The developed strategy contain three parts: First, the bluetooth protocol is used as a transmission interface and integrated with the bio-signal amplifier to transmit the measured physiological signals wirelessly. Then, the OMAP is used as a development platform and an embedded operating system for OMAP is also designed. Finally, DSP Gateway is developed as the mechanism in the embedded system to deal with the brain- signal analyzing tasks shared by ARM and DSP. An driver’s cognitive-state estimation has been developed and implementation on the proposed dual-core-processor based real time wireless embedded system for demonstration.