title: A level-crossing based QRS-detection algorithm for wearable ECG sensors.
abstract: 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 0.13 μm CMOS technology with a 1.2 V supply voltage, the overall system consumes 622 nW with core area of 0.136 mm (2), which make it suitable for wearable wireless ECG sensors in body-sensor networks.
authors.forename: Nassim
authors.initials: N
authors.lastname: Ravanshad
authors.forename: Hamidreza
authors.initials: H
authors.lastname: Rezaee-Dehsorkh
authors.forename: Reza
authors.initials: R
authors.lastname: Lotfi
authors.forename: Yong
authors.initials: Y
authors.lastname: Lian
mesh_terms: D000465:Algorithms; D001145:Arrhythmias, Cardiac / Q000503:physiopathology; D016208:Databases, Factual; D004562:Electrocardiography / Q000295:instrumentation* / Q000379:methods*; D006801:Humans; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*