Ventricular beat classifier using fractal number clustering |
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Authors: | H Bakardjian |
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Institution: | (1) Institute of Biomedical Engineering, Medical Academy, 1 G. Sofiiski, 1431 Sofia, Bulgaria |
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Abstract: | A two-stage ventricular beat ‘associative’ classification procedure is described. The first stage separates typical beats
from extrasystoles on the basis of area and polarity rules. At the second stage, the extrasystoles are classified in self-organised
cluster formations of adjacent shape parameter values. This approach avoids the use of threshold values for discrimination
between ectopic beats of different shapes, which could be critical in borderline cases. A pattern shape feature conventionally
called a ‘fractal number’, in combination with a polarity attribute, was found to be a good criterion for waveform evaluation.
An additional advantage of this pattern classification method is its good computational efficiency, which affords the opportunity
to implement it in real-time systems. |
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Keywords: | Classification ECG Extrasystole Fractal number QRS |
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