Processing, Feature Extraction and Classification of Body Surface Potential Maps

  • Dan R. Adam

Abstract

Body surface potential mapping (BSPM) is an electrocardiographic technique significantly better than standard ECG, yet its technical complexity and high cost have limited its use. A simplifying approach is suggested where the electrodes, spread out over the whole thorax, do not measure the whole ECG signal but only detect the time instants when the potentials at each electrode location cross some given threshold level. An algorithm for reconstruction of the complete BSPM information from these level-crossings has been utilized, based on the Karhunen-Loeve (K-L) expansion method. Complete BSPM recordings of a training set from subjects produces the set of basis functions for the reconstruction procedure. The reconstructions from level-crossings of a set of subjects with similar pathologies produce average RMS reconstruction error of about 140 uV, and correlation between original and estimated BSPMs of around 0.91. The simplified approach to BSPM measurement makes it a possible replacement to clinical ECG; here features of BSPM sequences are defined, and tested for classification and easiness of display. Three dimensional luci of the centers of mass of the BSPMs have been found to be a feature easy for display and serve as a good classifier.

Keywords

Fiducial Point Level Crossing Inferior Myocardial Infarction Data Compression Technique BioMedical Engineer Department 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1996

Authors and Affiliations

  • Dan R. Adam
    • 1
  1. 1.The Cardiac Research CenterDepartment of Biomedical EngineeringTechnion, I.I.T., HaifaIsrael

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