標題: A SOC Design of ORICA-based Highly Effective Real-time Multi-channel EEG System
作者: Ho, Yun-Lung
Huang, Yu-De
Wang, Kai-Yen
Fang, Wai-Chi
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
關鍵字: Biomedical signal processing;Online recursive independent component analysis (ORICA);Real-time system;Brain-computer interface (BCI)
公開日期: 1-Jan-2019
摘要: Independent component analysis (ICA) has been wildly used to improve EEC based application such as brain computer interface (BCI). However, some well know ICA algorithm, such as Infomax ICA, suffering from the problem of convergence latency and make it hard to be apply on real-time application. This paper proposes a highly efficient chip implementation of multi-channel EEC real-time system based on online recursive independent component analysis algorithm (ORICA). The core size of the chip is 1.5525-mm(2) using 28nm CMOS technology. The EEC demonstration board will be implemented with the ORICA chip. The operation frequency and power consumption of the chip are 100 MHz and 17.9 mW respectively. The proposed chip was validated with a real-time circuit integrated system and the average correlation coefficient between simulations results and chip processing results is 0.958.
URI: http://hdl.handle.net/11536/155552
ISBN: 978-1-5386-1311-5
ISSN: 1557-170X
期刊: 2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
起始頁: 4762
結束頁: 4765
Appears in Collections:Conferences Paper