Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/130537
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dc.titleAn ECG-on-Chip with QRS Detection & Lossless Compression for Low Power Wireless Sensors
dc.contributor.authorDeepu, Chacko John
dc.contributor.authorZhang, Xiaoyang
dc.contributor.authorHeng, Chun Huat
dc.contributor.authorLian, Yong
dc.date.accessioned2016-11-17T05:08:27Z
dc.date.available2016-11-17T05:08:27Z
dc.date.issued2016-09-15
dc.identifier.citationDeepu, Chacko John, Zhang, Xiaoyang, Heng, Chun Huat, Lian, Yong (2016-09-15). An ECG-on-Chip with QRS Detection & Lossless Compression for Low Power Wireless Sensors. IEEE Transactions on Circuits and Systems II: Express Briefs PP (99) : 1-5. ScholarBank@NUS Repository.
dc.identifier.issn15497747
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/130537
dc.description.abstractThis paper presents the design of a low power 3- lead ECG-on-Chip with integrated real-time QRS detection and lossless data compression for wearable wireless ECG sensors. Data compression and QRS detection can reduce the sensor power by up to 2 to 5 times. A joint QRS detection and lossless data compression circuit allows computational resources to be shared among multiple functions, thus lowering the overall system power. The proposed technique achieves an average compression ratio (CR) of 2.15 times on standard test data. The QRS detector achieves a sensitivity (Se) of 99.58% and positive productivity (+P) of 99.57% @ 256Hz when tested with the MIT/BIH database. Implemented in 0.35μm process, the circuit consumes 0.96μW @2.4V with a core area of 1.56mm2 for 2-channel ECG compression and QRS detection. Small size and ultra-low power consumption makes the chip suitable for usage in wearable/ambulatory ECG sensors.
dc.description.urihttp://ieeexplore.ieee.org/abstract/document/7576675/
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TCSII.2016.2613564
dc.publisherInstitute of Electrical and Electronics Engineers
dc.subjectElectrocardiography, Data compression, Sensors, Hardware, Resistors, Multiplexing, Wireless sensor networks
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.sourcetitleIEEE Transactions on Circuits and Systems II: Express Briefs
dc.description.volumePP
dc.description.issue99
dc.description.page1-5
dc.identifier.isiut000388436600014
dc.published.statePublished
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