Proceedings of International Conference on Applied Innovation in IT  ·  2016/03/10  ·  Vol. 4  ·  Issue 1  ·  pp. 73–76
Methods of Visualization and Analysis of Cardiac Depolarization in the Three Dimensional Space
Sergei Artemov, Bernd Krause
Research analysis of electrocardiograms (ECG) today is carried out mostly using time depending signals of different leads shown in the graphs. Definition of ECG parameters is performed by qualified personnel, and requiring particular skills. To support decoding the cardiac depolarization phase of ECG there are methods to analyze space-time convolution charts in three dimensions where the heartbeat is described by the trajectory of its electrical vector. Based on this, it can be assumed that all available options of the classical ECG analysis of this time segment can be obtained using this technique. Investigated ECG visualization techniques in three dimensions combined with quantitative methods giving additional features of cardiac depolarization and allow a better exploitation of the information content of the given ECG signals.
ECG PCA cardiac depolarization
References
  1. M.-E. Nygards, L. Sornmo,“Delineation of the QRS complex using the envelope of the ECG” - Medicine and biology, 1983, No 21 pp.538-547.
  2. M. Kotas, “Projective Filtering of Time-Aligned ECG Beats” – IEEE transactions on biomedical engineering vol.51, No.7, 2004, pp. 1129–1139.
  3. L.G. Tereshchenko, L. Han, A. Cheng, “Beat-to-beat three-dimensional ECG variability predicts ventricular arrhythmia in ICD recipients” – Heart Rhythm Society, 2010, pp. 1606 – 1613.
  4. W. Müller, T. Nocke, H. Schumann , “Enhancing the visualization process with principal component analysis to support the exploration of trends” - Asia-Pacific Symposium on Information Visualization, 2006.
  5. I.T. Jolliffe, “Principal Component Analysis”, Springer, New York, 2002.

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