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Ultra-low power QRS detection using adaptive thresholding based on forward search interval technique
Xiao R.1; Li M.1; Law M.-K.1; Mak P.-I.1; Martin R.P.1
2017-12-01
Conference NameInternational Conference on Electron Devices and Solid-State Circuits (EDSSC)
Source PublicationEDSSC 2017 - 13th IEEE International Conference on Electron Devices and Solid-State Circuits
Volume2017-January
Pages1-2
Conference DateOCT 18-20, 2017
Conference PlaceHsinchu, TAIWAN
Abstract

We present an energy efficient QRS detector for real-time ECG signal processing implemented in ASIC. An adaptive thresholding scheme based on forward search interval (FSI) algorithm together with simple preprocessing is proposed to accurately detect QRS peaks. The Verilog HDL codes with improved hardware utilization efficiency are validated using FPGA, achieving 99.59% sensitivity (Se) and 99.63% positive prediction (Pr) using the MIT-BIH Arrhythmia database. A chip prototype is also implemented in a standard 0.18-μm CMOS process. Synthesized with a customized subthreshold digital library for minimum energy operation, the proposed QRS detector occupies an active area of 0.13 mm and consumes merely 93nW.

DOI10.1109/EDSSC.2017.8126486
URLView the original
Indexed BySCI
Language英语
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000426985900088
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Document TypeConference paper
专题INSTITUTE OF MICROELECTRONICS
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Affiliation1.Universidade de Macau
2.Instituto Superior Técnico
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GB/T 7714
Xiao R.,Li M.,Law M.-K.,et al. Ultra-low power QRS detection using adaptive thresholding based on forward search interval technique[C],2017:1-2.
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