65-nm ASIC implementation of QRS detector based on Pan and Tompkins algorithm

Nourhan Bayasi, Hani Saleh, Baker Mohammad, Mohammed Ismail

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Scopus citations

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%.

Original languageBritish English
Title of host publication2014 10th International Conference on Innovations in Information Technology, IIT 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages84-87
Number of pages4
ISBN (Electronic)9781479972128
DOIs
StatePublished - 16 Dec 2014
Event2014 10th International Conference on Innovations in Information Technology, IIT 2014 - Abu Dhabi, Al-Ain, United Arab Emirates
Duration: 9 Nov 201411 Nov 2014

Publication series

Name2014 10th International Conference on Innovations in Information Technology, IIT 2014

Conference

Conference2014 10th International Conference on Innovations in Information Technology, IIT 2014
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi, Al-Ain
Period9/11/1411/11/14

Keywords

  • ASIC design
  • automated diagnosis
  • Electrocardiogram signal
  • peak detection
  • QRS detection
  • real-time adaptation

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