Epilepsy Identification System with Neural Network Hardware Implementation

Chieh Tsou, Chi Chung Liao, Shuenn Yuh Lee

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

This paper presents a real-time identification system for epilepsy detection with a neural network (NN) classifier. The identification flow of the proposed system in animal testing is described as follows: 1. Two channel signals are collected from mouse brain. 2. Original signals are filtered in the appropriate bandwidth. 3. Six feature values are calculated. 4. Normal and epilepsy are classified by the classifier. The electroencephalography signal is measured from C57BL/6 mice in animal testing with a sampling rate of 400 Hz. The proposed system is verified on software design and hardware implementation. The software is designed in Matlab, and the hardware is implemented by the field programmable gate array (FPGA) platform. The chip is fabricated with TSMC 0.18 μm CMOS technology. The feature extraction function is realized in FPGA, and the NN architecture is implemented with a chip. The chosen feature sets from the previous measured animal testing data are amplitude, frequency bins, approximate entropy, and standard deviation. The accuracies of the proposed system are approximately 98.76% and 89.88% on software verification and hardware implementation, respectively. Results reveal that the proposed architecture is effective for epilepsy recognition.

原文English
主出版物標題Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019
發行者Institute of Electrical and Electronics Engineers Inc.
頁面163-166
頁數4
ISBN(電子)9781538678848
DOIs
出版狀態Published - 2019 三月
事件1st IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019 - Hsinchu, Taiwan
持續時間: 2019 三月 182019 三月 20

出版系列

名字Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019

Conference

Conference1st IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019
國家Taiwan
城市Hsinchu
期間19-03-1819-03-20

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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    Tsou, C., Liao, C. C., & Lee, S. Y. (2019). Epilepsy Identification System with Neural Network Hardware Implementation. 於 Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019 (頁 163-166). [8771529] (Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AICAS.2019.8771529