Key result
A hierarchical classification method using support vector machines and Hermite basis functions provided more accurate heartbeat classification compared to conventional multiclass methods.
Population
Electrocardiogram (ECG) signals for heartbeat class detection
Comparison
Hierarchical classification method using support… vs Conventional multiclass classification method
Authors
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May enhance automated ECG classification; leaves open clinical validation and outcome impact.
A hierarchical support vector machine approach using Hermite basis functions improves the accuracy of ECG heartbeat classification compared to conventional multiclass methods.
Park et al. (2008) studied Cardiac disease (heartbeat classification). Hierarchical classification method using support vector machines and Hermite basis functions vs. Conventional multiclass classification method and higher order statistics was evaluated on Classification performance/accuracy. A hierarchical classification method using support vector machines and Hermite basis functions provided more accurate heartbeat classification compared to conventional multiclass methods.
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