A comprehensive algorithm for the analysis of ECG waveforms

Abdul Jaleel Palliyali, Reza Tafreshi, Nasreen Mohsin, Leyla Tafreshi

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

3 Citations (Scopus)

Abstract

This paper presents a comprehensive approach for the detailed analysis of ECG waveforms including various morphologies to aid clinical diagnosis. Clinical judgment is often based on observing various features which may occur simultaneously on the ECG. Thus, to automate diagnosis, a comprehensive tool capable of detecting all these features is required. Parabolic curve fitting, adaptive thresholds and synchronicity across leads are utilized to detect the various waves of the QRS complex namely Q,R,S,R' and S'. Onset of the QRS complex and the J point are detected using a 'modified second derivative' approach. The isoelectric level is detected using linearity and slope conditions. P and T waves are detected using 'area under curve' approach. Measurements such as peakto- peak intervals and ST elevation/depression are numerically calculated from the points obtained. Curve fitting and change in slope are utilized for obtaining morphology of the ST segment. Presence of significant Q waves and abnormal T waves are inferred using clinical guidelines and numerical calculations. The performance of the algorithm is validated on 40 sample patient data - 20 healthy and 20 with Myocardial Infarction. Average accuracy shown in detecting all points of interest is 98.5%. All measurements are successfully calculated from these points. Along with this reliable performance, the approach proves to be simple and computationally fast.

Original languageEnglish
Title of host publicationASME 2012 International Mechanical Engineering Congress and Exposition, IMECE 2012
Pages477-481
Number of pages5
Volume2
DOIs
Publication statusPublished - 2012
EventASME 2012 International Mechanical Engineering Congress and Exposition, IMECE 2012 - Houston, TX, United States
Duration: 9 Nov 201215 Nov 2012

Other

OtherASME 2012 International Mechanical Engineering Congress and Exposition, IMECE 2012
CountryUnited States
CityHouston, TX
Period9/11/1215/11/12

Fingerprint

Electrocardiography
Curve fitting
Derivatives

Keywords

  • ECG analysis
  • Myocardial infarction
  • QRS detection

ASJC Scopus subject areas

  • Mechanical Engineering

Cite this

Palliyali, A. J., Tafreshi, R., Mohsin, N., & Tafreshi, L. (2012). A comprehensive algorithm for the analysis of ECG waveforms. In ASME 2012 International Mechanical Engineering Congress and Exposition, IMECE 2012 (Vol. 2, pp. 477-481) https://doi.org/10.1115/IMECE2012-87553

A comprehensive algorithm for the analysis of ECG waveforms. / Palliyali, Abdul Jaleel; Tafreshi, Reza; Mohsin, Nasreen; Tafreshi, Leyla.

ASME 2012 International Mechanical Engineering Congress and Exposition, IMECE 2012. Vol. 2 2012. p. 477-481.

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

Palliyali, AJ, Tafreshi, R, Mohsin, N & Tafreshi, L 2012, A comprehensive algorithm for the analysis of ECG waveforms. in ASME 2012 International Mechanical Engineering Congress and Exposition, IMECE 2012. vol. 2, pp. 477-481, ASME 2012 International Mechanical Engineering Congress and Exposition, IMECE 2012, Houston, TX, United States, 9/11/12. https://doi.org/10.1115/IMECE2012-87553
Palliyali AJ, Tafreshi R, Mohsin N, Tafreshi L. A comprehensive algorithm for the analysis of ECG waveforms. In ASME 2012 International Mechanical Engineering Congress and Exposition, IMECE 2012. Vol. 2. 2012. p. 477-481 https://doi.org/10.1115/IMECE2012-87553
Palliyali, Abdul Jaleel ; Tafreshi, Reza ; Mohsin, Nasreen ; Tafreshi, Leyla. / A comprehensive algorithm for the analysis of ECG waveforms. ASME 2012 International Mechanical Engineering Congress and Exposition, IMECE 2012. Vol. 2 2012. pp. 477-481
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