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dc.contributor.authorWang, Kai-Yenen_US
dc.contributor.authorHo, Yun-Lungen_US
dc.contributor.authorHuang, Yu-Deen_US
dc.contributor.authorFang, Wai-Chien_US
dc.date.accessioned2019-06-03T01:09:15Z-
dc.date.available2019-06-03T01:09:15Z-
dc.date.issued2018-01-01en_US
dc.identifier.isbn978-1-5386-6318-9en_US
dc.identifier.issn1520-6130en_US
dc.identifier.urihttp://hdl.handle.net/11536/152002-
dc.description.abstractIn this paper, we propose a system-on-chip(SOC) design of highly effective multi-channel real-time EEG signal processing system based on Online-Recursive Independent Component Analysis (ORICA) algorithm implemented using TSMC's 28nm CMOS technology. In this chip, concepts of system-on-chip (SOC) design and effective system integration technique are well-combined together to realize a highly miniaturized realtime EEG processing system.. The core area and total power consumption of the chip are respectively 1246* 1246 mu m2 and 25.03mW. The chip operations were validated by ADVANTEST V93000 PS1600 and the results obtained match with the software simulation. The average correlation coefficient between original source signals and extracted ORICA signals reaches 0.9572. Eye blink artifact, and facial muscle artifact will be removed automatically. Producing a pure EEG signal is beneficial for realtime data analysis; therefore, this chip design can enhance the reliability and feasibility of EEG-related applications, such as BCI, medical diagnosis and depth of anesthesia detection.en_US
dc.language.isoen_USen_US
dc.subjectReal Time EEGen_US
dc.subjectEEG signal processingen_US
dc.subjectCMOS 28nm tehnologyen_US
dc.subjectORICA algorithmen_US
dc.subjectde-artifact processen_US
dc.titleA 16 Channel Real-Time EEG Processing Based on ORICA Algorithm using 28nm CMOS Technologyen_US
dc.typeProceedings Paperen_US
dc.identifier.journalPROCEEDINGS OF THE 2018 IEEE INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING SYSTEMS (SIPS)en_US
dc.citation.spage269en_US
dc.citation.epage274en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.identifier.wosnumberWOS:000465106800046en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper