LabVIEW event detection using Pan-Tompkins algorithm

  • Authors:

  • Mihaela Lascu;Dan Lascu

  • Affiliations:

  • Department of Measurements and Optical Electronics, Faculty of Electronics and Telecommunications, Romania;Department of Measurements and Optical Electronics, Faculty of Electronics and Telecommunications, Romania

  • Venue:
  • SSIP'07 Proceedings of the 7th WSEAS International Conference on Signal, Speech and Image Processing
  • Year:
  • 2007

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Abstract

QRS and ventricular beat detection is a basic procedure for electrocardiogram (ECG) processing and analysis. Large variety of methods have been proposed and used, featuring high percentages of correct detection. Nevertheless, the problem remains open especially with respect to higher detection accuracy in noisy ECGs. LabVIEW (Laboratory Virtual Instrument Engineering Workbench) is a graphical programming language that uses icons instead of lines of text to create programs. We developed in LabVIEW the filtering for removal of artifacts in biomedical signals and the Pan-Tompkins algorithm. We have investigated problems posed by artifact, noise and interference of various forms in the acquisition and analysis of several biomedical signals. We have also established links between the characteristics of certain epochs in a number of biomedical signals and the corresponding physiological or pathological events in the biomedical systems of concern. Event detection is an important step that is required before we may attempt to analyze the corresponding waves in more detail.