Key result
The proposed heart sound classification algorithm using cycle quality assessment and neural networks was effective in classifying heart sounds as normal versus abnormal recordings.
A novel algorithm using cycle quality assessment and neural networks effectively classifies normal versus abnormal heart sounds in noisy real-world recordings.
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May aid automated phonocardiography development; leaves open clinical validation before practice adoption.
Abdollahpur et al. (2017) studied Heart sounds (normal vs abnormal). Heart sound classification algorithm using cycle quality assessment and neural networks vs. Top five ranked submissions was evaluated on Classification of heart sounds as normal versus abnormal. The proposed heart sound classification algorithm using cycle quality assessment and neural networks was effective in classifying heart sounds as normal versus abnormal recordings.
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