@inproceedings{e432ace7d1cd41d29ded1ec4c35ea41e,
title = "65-nm ASIC implementation of QRS detector based on Pan and Tompkins algorithm",
abstract = "Electrocardiogram analysis is an important tool in the management of cardiac diseases and the QRS complex is the main reference in such analysis. The paper presents a new adaptive ECG QRS detection ASIC based on Pan and Tompkins algorithm. The algorithm has been modified to detect a large number of different QRS complex morphologies using two adaptive thresholds. The dedicated ASIC design architecture is based on the state-of-the-art 65-nm CMOS technology and has achieved 0.073426 mm2 total core area and 0.55105 μW power consumption. The QRS detector is tested on ECG records obtained from Physionet MIT-BIH database and obtained a sensitivity of Se =99.83\% and a positive predictivity of P+= 98.65\%.",
keywords = "ASIC design, automated diagnosis, Electrocardiogram signal, peak detection, QRS detection, real-time adaptation",
author = "Nourhan Bayasi and Hani Saleh and Baker Mohammad and Mohammed Ismail",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 10th International Conference on Innovations in Information Technology, IIT 2014 ; Conference date: 09-11-2014 Through 11-11-2014",
year = "2014",
month = dec,
day = "16",
doi = "10.1109/INNOVATIONS.2014.6987567",
language = "British English",
series = "2014 10th International Conference on Innovations in Information Technology, IIT 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "84--87",
booktitle = "2014 10th International Conference on Innovations in Information Technology, IIT 2014",
address = "United States",
}