Background and objective Automated detection of arrhythmias from electrocardiograms
(ECGs) can be of considerable assistance to medical professionals in providing efficient …

This study aims to compare the effectiveness of using discrete heartbeats versus an entire
12-lead electrocardiogram (ECG) as the input for predicting future occurrences of arrhythmia …

In this study, we analyze the effect of a recliner chair with rocking motions on sleep quality of
naps using automated sleep scoring and spindle detection models. The quality of sleep …

With the development of science and technology, the middle volume and neural network in
the semantic image segmentation of the codec show good development prospects. Its …

Biometric systems require the regression and classification of biological sensing data, which
are both carried out using machine learning. Long short-term memory (LSTM) is one of the …

This paper proposes an autoencoder model to improve security strength of sensor networks
using simulation data through DEVS (discrete event system specification)-based modeling …