Classification of Heartbeats Using Convolutional Neural Network with Range Normalization

What is it about?

The topic "Classification of ECG Signals Using Convolutional Neural Network with Range Normalization" is about using deep learning (CNNs) to automatically identify heart conditions from electrocardiogram (ECG) signals.

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Why is it important?

Electrocardiogram (ECG) signal classification using Convolutional Neural Networks (CNNs) has become a popular approach due to CNNs' ability to automatically extract relevant features from raw ECG waveforms. One effective preprocessing step for improving classification accuracy is Range Normalization, which ensures that all input signals are scaled to a common range, reducing variability and improving model generalization.