C. Guzmán-García

Machine learning and evolutionary computation for increased reliability of wearable devices for monitoring cardiac arrhythmias in the wild.

This study develops and systematically compares machine learning and deep learning approaches for ECG noise detection using real-world wearable data acquired outside controlled clinical environments and indicates that the Multilayer Perceptron model, combined with Heart Rate Variability-related time- and frequency-doma...