完整後設資料紀錄
DC 欄位語言
dc.contributor.authorChang, Chia-Linen_US
dc.contributor.authorChang, Chih-Weien_US
dc.contributor.authorHsu, Chen-Mingen_US
dc.contributor.authorLuo, Ching-Hsingen_US
dc.contributor.authorChiou, Jin-Chernen_US
dc.date.accessioned2014-12-08T15:09:39Z-
dc.date.available2014-12-08T15:09:39Z-
dc.date.issued2009-04-01en_US
dc.identifier.issn1537-1646en_US
dc.identifier.urihttp://dx.doi.org/10.1117/1.3124190en_US
dc.identifier.urihttp://hdl.handle.net/11536/7388-
dc.description.abstractThis work presents a power-efficient wireless sensor implemented using microelectromechanical system (MEMS)-based dry electrodes (MDE) and a ZigBee protocol chip for physiological signal acquisition. To improve signal quality with low electrode-skin interface impedance, a silicon-based MDE is fabricated via micromachining technology. The proposed wireless sensor can provide four different channels for up to 10 kHz bandwidth, 10-bit resolution biomedical signal transmissions. Different from other systems, the proposed wireless sensor employs a novel power management method for physiological signals to reduce power consumption. The proposed wireless sensor successfully transmits electrocardiogram (ECG) signals and four-channel electroencephalogram (EEG) signals with power consumptions of 92.7 and 56.8 mW respectively. It consumes 46% less power than the original sensor without power management (173 mW) in ECG acquisition and 67% less power in EEG acquisition. The circuit printed-circuit-band area in the proposed wireless sensor is 3.5 x 4.5 cm, suitable for various portable biomedical applications. (C) 2009 Society of Photo-Optical Instrumentation Engineers. [DOI: 10.1117/1.3124190]en_US
dc.language.isoen_USen_US
dc.subjectMEMS sensoren_US
dc.subjectbiotelemetryen_US
dc.subjectsignal processingen_US
dc.subjectpower-efficienten_US
dc.titlePower-efficient wireless sensor for physiological signal acquisitionen_US
dc.typeArticleen_US
dc.identifier.doi10.1117/1.3124190en_US
dc.identifier.journalJOURNAL OF MICRO-NANOLITHOGRAPHY MEMS AND MOEMSen_US
dc.citation.volume8en_US
dc.citation.issue2en_US
dc.citation.epageen_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.identifier.wosnumberWOS:000268443400018-
顯示於類別:會議論文


文件中的檔案:

  1. 000268443400018.pdf

若為 zip 檔案,請下載檔案解壓縮後,用瀏覽器開啟資料夾中的 index.html 瀏覽全文。