Neural networks using multiple pattern recognition parameters from two ECG leads can highly accurately classify normal QRS complexes and premature ventricular contractions.
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May support automated ECG research tools; leaves open prospective clinical validation before practice adoption.
Christov et al. (2004) studied this question.
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