IEEE

Real-Time ECG Signal Classification Using Recurrent Neural Networks

Abstract: This study investigates the use of Recurrent Neural Networks (RNNs) for real-time ECG signal classification. The CNN-RNN hybrid model achieved the highest accuracy of 97.5% and an F1-score ...
IEEE

A Machine Learning Approach for the Classification of Sleep Disorders Using Time and Frequency Domain Features of a Single Channel EEG Signal

Abstract: Sleep is crucial for both mental and physical health. Poor sleep quality can lead to numerous health issues. Accurate detection of different sleep disorders is crucial for early diagnosis, ...