Sub-μW QRS detection processor using quadratic spline wavelet transform and maxima modulus pair recognition for power-efficient wireless arrhythmia monitoring

doi:10.1109/ASPDAC.2016.7427982

UM > THE STATE KEY LABORATORY OF ANALOG AND MIXED-SIGNAL VLSI (UNIVERSITY OF MACAU)

Residential College	false
Status	已發表Published
	Sub-μW QRS detection processor using quadratic spline wavelet transform and maxima modulus pair recognition for power-efficient wireless arrhythmia monitoring
	Chio-In Ieong 2; Pui-In Mak2 ; Mang-I Vai2 ; Rui P. Martins 1,2
	2016-03-07
Conference Name	21st Asia and South Pacific Design Automation Conference (ASP-DAC)
Source Publication	2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC)
Volume	25-28-January-2016
Pages	21-22
Conference Date	JAN 25-28, 2016
Conference Place	Macau, China
Abstract	This paper describes a power-efficient processor for extracting the timing of QRS complex from digitized ECG, based on the hardware-efficient architecture of quadratic spline wavelet transform (QSWT) and maxima modulus pair recognition (MMPR). The processor succeeds in saving the wireless system's power by 6×.
DOI	10.1109/ASPDAC.2016.7427982
URL	View the original
Indexed By	SCIE
Language	英語English
WOS Research Area	Automation & Control Systems ; Engineering
WOS Subject	Automation & Control Systems ; Engineering, Electrical & Electronic
WOS ID	WOS:000384642200011
Scopus ID	2-s2.0-84996836060
Fulltext Access	View Full-Text via DOI View Full-Text via Web of Science View Full-Text via Scopus
Citation statistics
Document Type	Conference paper
Collection	THE STATE KEY LABORATORY OF ANALOG AND MIXED-SIGNAL VLSI (UNIVERSITY OF MACAU) Faculty of Science and Technology DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Affiliation	1.Instituto Superior Técnico, Universidade de Lisboa, Portugal 2.State-Key Laboratory of Analog and Mixed-Signal VLSI and FST-ECE, University of Macau, Macao, China
First Author Affilication	Faculty of Science and Technology
Recommended Citation GB/T 7714	Chio-In Ieong,Pui-In Mak,Mang-I Vai,et al. Sub-μW QRS detection processor using quadratic spline wavelet transform and maxima modulus pair recognition for power-efficient wireless arrhythmia monitoring[C], 2016, 21-22.
APA	Chio-In Ieong., Pui-In Mak., Mang-I Vai., & Rui P. Martins (2016). Sub-μW QRS detection processor using quadratic spline wavelet transform and maxima modulus pair recognition for power-efficient wireless arrhythmia monitoring. 2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC), 25-28-January-2016, 21-22.

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