NDLI: An online recursive ICA based real-time multichannel EEG system on chip design with automatic eye blink artifact rejection

Content Provider	IEEE Xplore Digital Library
Author	Jui-Chieh Liao Wei-Yeh Shih Kuan-Ju Huang Wai-Chi Fang
Copyright Year	2013
Description	Author affiliation: Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan (Jui-Chieh Liao; Wei-Yeh Shih; Kuan-Ju Huang; Wai-Chi Fang)
Abstract	This paper presents an online recursive ICA (ORICA) based real-time multi-channel EEG system on chip design with automatic eye blink artifact rejection. Since EEG signals are very feeble, they are easy to be contaminated by artifacts. Among all artifacts, eye blink artifact dose the most significant harm to EEG signals. For acquiring artifact free EEG signals, ICA is a popular method for artifacts extraction. After extraction of ICA, eye blink artifacts are rejected to improve the reliability of EEG applications such as brain computer interfaces (BCIs). To promote the feasibility and convenience of BCIs, a real-time ICA algorithm, ORICA, is adopted in this system. With ORICA, the system immediately finishes each ICA result after each sample time. After each ICA result is generated, the automatic eye blink artifact rejection and inverse ICA are performed to acquire eye blink artifact free EEG signals in realtime. For system portability and high integration, a front-end interface of commercial IC, ADS1298 provided by TI, and Bluetooth interface, UART, are implemented. The system is designed used TSMC 90nm CMOS technology with 8 channels EEG processing in 128 Hz sample rate of raw data and consumes 8.56 mW at 50 MHz clock rate. The design methods of the proposed EEG system are provided in this paper. The performance and processing results of the system are also shown to reach 0.2532 s latency after each EEG sample time.
Sponsorship	IEEE Circuits Syst. Soc.
Starting Page	1
Ending Page	4
File Size	814490
Page Count	4
File Format	PDF
ISBN	9781467344357
e-ISBN	9781467344364
DOI	10.1109/VLDI-DAT.2013.6533850
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-22
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electroencephalography Real-time systems Training Design methodology Algorithm design and analysis Covariance matrices System-on-chip
Content Type	Text
Resource Type	Article

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