腦波應用程式開發教學教材之編撰

The Composition of Electroencephalogram Application Software Programming Textbook

林建豪(Chien-Hao Lin)

指導教授 ： 施再繁

朝陽科技大學/資訊學院/資訊工程系/碩士(2015年)

摘要

近年來使用腦波儀(EEG)應用在學術研究及現實生活中的案例與日俱增，但市面卻仍找不到腦波應用程式開發相關教材，因此本論文著眼於編撰一本此方面之相關教材，期能輔助初學者學習開發腦波應用程式，此教材包含開發腦波應用程式所需之相關背景知識與技術，教材採用美商神念科技的MindWave Mobile腦波儀，作為範例程式實作的腦波檢測設備，使用Visual Studio Express 2013 C#語言作為軟體開發的程式語言，以期透過應用程式實作，讓讀者了解腦波儀應用程式開發之概念，讀者將學會如何以C#撰寫與腦波儀通訊以及如何應用腦波訊息的相關程式，其中通訊程式包含藍芽通訊、序列埠通訊及神念科技所提供的原廠技術，本論文最後亦實作了LED顯示硬體，以顯示腦波訊號控制之即時狀況。

關鍵字

藍芽 ； 放鬆度 ； 專注度 ； 腦波儀 ； 序列埠通訊

並列摘要

In recent years, the case is increasing which electroencephalogram (EEG) biosensors apply to scientific research and real life. But there is no such textbook available to the public in the market. Therefore, we proposed the composition of electroencephalogram application software programming textbook. The purpose is to assist any beginners to learn how to develop the EEG application software. This material is including the background of EEG and coding technology for EEG application software developing. We use NeuroSky's MindWave Mobile EEG as detecting equipment and choose Visual Studio Express 2013 C# language as programming language. We hope that through the practice of examples in textbook, the readers can learning the skill of EEG application software development which contains the Bluetooth communication, serial port communication and ThinkGear Technology. At the end, we implemented LED display hardware to show the real time status of EEG.

並列關鍵字

Serial port communication ； Bluetooth ； Meditation ； Attention ； EEG

參考文獻

[28] 林慧慈、徐榮隆、蕭百勝、邱泓文，「以腦波及心律變異性分析為基礎之失眠評估」，醫療資訊雜誌，第四卷，第十八期，2009，第1-12頁。

[9] L. Chin-Teng, C. Che-Jui, L. Bor-Shyh, H. Shao-Hang, C. Chih-Feng, and I. J. Wang, "A Real-Time Wireless Brain Computer Interface System for Drowsiness Detection," IEEE Transactions on Biomedical Circuits and Systems, 2010, vol. 4, pp. 214-222.

[1] J. J. Vidal, "Toward direct brain-computer communication," Annu Rev Biophys Bioeng, 1973, vol. 2, pp. 157-180.

[4] A. D. Krystal, J. D. Edinger, W. K. Wohlgemuth, and G. R. Marsh, "NREM sleep EEG frequency spectral correlates of sleep complaints in primary insomnia subtypes," Sleep, 2002, vol. 25, pp. 630-640.

[5] C. H. Bastien, M. LeBlanc, J. Carrier, and C. M. Morin, "Sleep EEG power spectra, insomnia, and chronic use of benzodiazepines," Sleep, 2003, vol. 26, pp. 313-317.