Title : ( A Level-Crossing Based QRS-Detection Algorithm for Wearable ECG Sensors )
Authors: nassim ravanshad , Hamidreza Rezaee Dehsorkh , Reza Lotfi , Yong Lian ,
Full TextAbstract
In this paper, an asynchronous analog-to-information conversion system is introduced for measuring the RR intervals of the electrocardiogram (ECG) signals. The system contains a modified level-crossing analog-to-digital converter and a novel algorithm for detecting the R-peaks from the level-crossing sampled data in a compressed volume of data. Simulated with MIT-BIH Arrhythmia Database, the proposed system delivers an average detection accuracy of 98.3%, a sensitivity of 98.89%, and a positive prediction of 99.4%. Synthesized in 0.13μmCMOS technology with a 1.2 V supply voltage, the overall system consumes 622 nW with core area of 0.136 mm2 , which make it suitable for wearable wireless ECG sensors in body-sensor networks.
Keywords
, Analog-to-digital converter (ADC), asynchronous analog-to-information conversion system, level-crossing sampling, QRS detection, wearable electrocardiogram (ECG) monitoring devices
@article{paperid:1045355,
author = {Ravanshad, Nassim and Rezaee Dehsorkh, Hamidreza and Lotfi, Reza and Yong Lian},
title = {A Level-Crossing Based QRS-Detection Algorithm for Wearable ECG Sensors},
journal = {IEEE Journal of Biomedical and Health Informatics},
year = {2014},
volume = {18},
number = {1},
month = {January},
issn = {2168-2194},
pages = {183--192},
numpages = {9},
keywords = {Analog-to-digital converter (ADC); asynchronous analog-to-information conversion system; level-crossing sampling; QRS detection; wearable electrocardiogram (ECG) monitoring devices},
}
%0 Journal Article
%T A Level-Crossing Based QRS-Detection Algorithm for Wearable ECG Sensors
%A Ravanshad, Nassim
%A Rezaee Dehsorkh, Hamidreza
%A Lotfi, Reza
%A Yong Lian
%J IEEE Journal of Biomedical and Health Informatics
%@ 2168-2194
%D 2014
