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A 0.45-V 70-nW QRS detector using decimated quadratic spline wavelet transform and window-based extrema difference techniques
Xiao,Ruping1; Li,Mingzhong1; Law,Man Kay1; Mak,Pui In1; Martins,Rui P.1,2
2019-06
Conference NameIEEE International Conference on Electron Devices and Solid-State Circuits (EDSSC)
Source Publication2019 IEEE International Conference on Electron Devices and Solid-State Circuits, EDSSC 2019
Conference Date2019/06/12-2019/06/14
Conference PlaceXi'an
CountryChina
Abstract

This work presents a 70-nW QRS detector implemented in 0.45-V 0.1S-\mu m CMOS technology. The algorithm is optimized with decimated quadratic spline wavelet transform (DQSWT) and window-based extrema difference curve (WEDC). The DQSWT achieves up to 60% computational unit reduction when compared to the conventional method, while the WEDC enhances the QRS detection accuracy while maintaining a low computational complexity. Combined with a decision-making stage with simple mechanism, the proposed algorithm achieves a sensitivity of 99.62% and a precision of 99.70% in MIT-BIH arrhythmia database.

KeywordDecimation Ecg Extrema Difference Curve Low-power Qrs Detector Quadratic Spline Wavelet Transform Window-based
DOI10.1109/EDSSC.2019.8754437
URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaComputer Science
WOS SubjectComputer Science, Hardware & Architecture ; Computer Science, Theory & Methods
WOS IDWOS:000483036000269
Scopus ID2-s2.0-85069452872
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Citation statistics
Document TypeConference paper
CollectionTHE STATE KEY LABORATORY OF ANALOG AND MIXED-SIGNAL VLSI (UNIVERSITY OF MACAU)
Faculty of Science and Technology
INSTITUTE OF MICROELECTRONICS
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Corresponding AuthorLaw,Man Kay
Affiliation1.State-Key Lab. of Analog and Mixed-Signal VLSI,IME and FST-ECE,University of Macau,Macao
2.On leave from Instituto Superior Técnico, Universidade de Lisboa, Portugal
First Author AffilicationFaculty of Science and Technology
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Xiao,Ruping,Li,Mingzhong,Law,Man Kay,et al. A 0.45-V 70-nW QRS detector using decimated quadratic spline wavelet transform and window-based extrema difference techniques[C], 2019.
APA Xiao,Ruping., Li,Mingzhong., Law,Man Kay., Mak,Pui In., & Martins,Rui P. (2019). A 0.45-V 70-nW QRS detector using decimated quadratic spline wavelet transform and window-based extrema difference techniques. 2019 IEEE International Conference on Electron Devices and Solid-State Circuits, EDSSC 2019.
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