Design Of A Brain Computer Interface Based on Electroencephalogram: A Complete System Design from Hardware Implementation to High Level Application (Paperback)

Ozan Gunaydın

  • 出版商: LAP LAMBERT
  • 出版日期: 2011-05-25
  • 售價: $2,420
  • 貴賓價: 9.5$2,299
  • 語言: 英文
  • 頁數: 136
  • 裝訂: Paperback
  • ISBN: 3844391509
  • ISBN-13: 9783844391503
  • 相關分類: Ceph
  • 海外代購書籍(需單獨結帳)

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商品描述

A Brain Computer Interface (BCI) is a communication device between the brain and an external device, usually a computer. The main purpose of BCI systems is repairing or assisting human motor-sensory functions by asking the brain to control synthetic devices, computer cursors or robot arms. In this study, both acquisition hardware and software of a two channel EEG based brain computer interface was designed. After investigation of the components in EEG, motor imagery related mu and beta rhythms were selected for the information sources of the system. In order to discriminate left and right hand movement imagery, three different feature extraction methods was developed using: Discrete Wavelet transform, Power Spectrum transform and Band Pass FIR filters for Mu and Beta rhythms. These features were used as inputs to a two layer feed forward Back propagation neural network for classification. Designed system was trained and simulated with the data provided in BCI Competition II. With the direction of the results, a low power system with the TI MSP430 microcontroller using FIR filters and a neural network was implemented.

商品描述(中文翻譯)

腦機介面(Brain Computer Interface,BCI)是大腦與外部設備(通常是電腦)之間的通訊裝置。BCI系統的主要目的是通過要求大腦控制合成設備、電腦游標或機器人手臂來修復或輔助人類運動感知功能。在這項研究中,設計了一個基於兩通道腦電圖(EEG)的腦機介面的採集硬件和軟件。在對EEG組成部分進行調查後,選擇了與運動想象相關的mu和beta節律作為系統的信息來源。為了區分左右手運動想象,使用了三種不同的特徵提取方法:離散小波變換、功率譜變換和帶通FIR濾波器(用於mu和beta節律)。這些特徵被用作兩層前饋反向傳播神經網絡的輸入進行分類。設計的系統使用BCI競賽II提供的數據進行訓練和模擬。根據結果的指導,使用FIR濾波器和神經網絡實現了一個低功耗系統,該系統使用TI MSP430微控制器。