Self-organizing Visualization and Pattern Matching of Vectorcardiographic QRS Waveforms

QRS morphology is commonly used in the electrocardiographic diagnosis of ventricular depolarization such as left bundle branch block (LBBB) and ventricular septal infarction. We investigated whether pattern matching of QRS loops in the 3-dimensional vectorcardiogram (VCG) will improve the grouping of patients whose space-time electrical activity akin to each other, thereby assisting in clinical decision making. First, pattern dissimilarity of VCG QRS loops is qualitatively measured and characterized among patients, resulting in a 93 ×93 distance matrix of patient-to-patient dissimilarity.
Source: Computers in Biology and Medicine - Category: Bioinformatics Authors: Source Type: research