Detection of cardiovascular abnormalities through 5-lead system algorithm

Albert Al Touma, Reza Tafreshi, Muzammil Khan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Almost 30% of worldwide death cases are caused by cardiovascular diseases and this number is expected to increase. This paper aims to reduce this high-rate by developing a detection methodology to be used in finding cardiovascular abnormalities. Although researches have been focused on 12-lead systems, this paper narrows the detection down to 5-leads as a faster but still reliable procedure. The system utilizes two algorithms developed by the team. The first algorithm detects the critical points on the Electrocardiogram (ECG) waveforms such as P waves, QRS complex, T-waves and ST elevations. Although detection of typical QRS waveforms has been widely studied, detection of atypical waveforms with complex morphologies remains challenging. The second algorithm detects possible Myocardial Infractions (MI) based on the analysis of the aforementioned critical points. It is developed by mapping clinical definitions of different types of MI and their differential diagnosis into corresponding algorithmic rule sets. Essential pre-processing steps such as baseline correction, removal of ectopic beats, and median filtering are carried out on recorded ECG prior to its classification by the system. Techniques such as multi-stage polynomial correction and QRS subtraction are exploited to achieve reliable pre-processing. These two algorithms can be applied for both 12-lead and 5-lead ECG systems. Our current research targets 5-lead ECG system to make the process easier for the user and faster to implement. Results have shown 77.5% accuracy in the detection of abnormal ECG signals. Future work includes compiling the 5-lead algorithm with a phone application and webserver to make usable by all patients.

Original languageEnglish
Title of host publication3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages260-263
Number of pages4
ISBN (Electronic)9781509024551
DOIs
Publication statusPublished - 18 Apr 2016
Externally publishedYes
Event3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016 - Las Vegas, United States
Duration: 24 Feb 201627 Feb 2016

Other

Other3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016
CountryUnited States
CityLas Vegas
Period24/2/1627/2/16

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ASJC Scopus subject areas

  • Health Informatics
  • Health Information Management

Cite this

Touma, A. A., Tafreshi, R., & Khan, M. (2016). Detection of cardiovascular abnormalities through 5-lead system algorithm. In 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016 (pp. 260-263). [7455884] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BHI.2016.7455884