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dc.contributor.authorFu, Chih-Chungen_US
dc.contributor.authorChen, Chiu-Kuoen_US
dc.contributor.authorTseng, Shao-Yenen_US
dc.contributor.authorKang, Shihen_US
dc.contributor.authorChua, Ericsonen_US
dc.contributor.authorFang, Wai-Chien_US
dc.date.accessioned2014-12-08T15:28:51Z-
dc.date.available2014-12-08T15:28:51Z-
dc.date.issued2010en_US
dc.identifier.isbn978-3-642-17621-0en_US
dc.identifier.issn1865-0929en_US
dc.identifier.urihttp://hdl.handle.net/11536/20837-
dc.description.abstractA portable brain-heart monitoring system is proposed to integrate and miniaturize those heavy equipments in the hospitals. The system comprises a 4-channel independent component analysis (ICA) engine for artifact removal from EEG, a heart-rate variability (HRV) analysis engine for on-line HRV analysis and a diffuse optical tomography (DOT) engine for reconstruction of the absorption coefficient image of the brain tissue. A lossless compression module achieves 2.5 compression ratio is also employed to reduce the power consumption of the wireless transmission. EEG, EKG and near-infrared signals acquired from the analog front-end IC are processed in real-time or bypassed according to user configurations. Processed data and raw data are compressed and sent to a remote science station by a commercial Bluetooth module for further analysis and 3-D visualization and remote diagnosis. The ICA and HRV engine are verified by real EEG and EKG signals while the DOT engine is verified by an experimental model. The system is implemented using UMC 65nm CMOS technology, and the core size is 680x680 um(2), and the estimated power consumption of the chip working at 24 MHz under full mode is 3.6 mW.en_US
dc.language.isoen_USen_US
dc.subjectBiomedical Systemen_US
dc.subjectportableen_US
dc.subjectArtifact Removalen_US
dc.subjectwearableen_US
dc.subjectICAen_US
dc.subjectDOTen_US
dc.subjectHRVen_US
dc.subjectHealth-Careen_US
dc.subjectBluetoothen_US
dc.subjectSignal Processingen_US
dc.titlePortable Brain-Heart Monitoring Systemen_US
dc.typeArticleen_US
dc.identifier.journalDATABASE THEORY AND APPLICATION, BIO-SCIENCE AND BIO-TECHNOLOGYen_US
dc.citation.volume118en_US
dc.citation.spage241en_US
dc.citation.epage250en_US
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.identifier.wosnumberWOS:000288690600024-
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