Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works
Apnea is a sleep disorder that stops or reduces airflow for a short time during sleep. Sleep
apnea may last for a few seconds and happen for many while slee**. This reduction in …
apnea may last for a few seconds and happen for many while slee**. This reduction in …
A novel URP-CNN model for bond credit risk evaluation of Chinese listed companies
B Meng, J Sun, B Shi - Expert Systems with Applications, 2024 - Elsevier
The effective identification of bond credit risk is critical for maintaining stability in the bond
market and safeguarding investor rights. This paper proposes a URP-CNN model for …
market and safeguarding investor rights. This paper proposes a URP-CNN model for …
Detection of sleep apnea using deep neural networks and single-lead ECG signals
Sleep apnea causes frequent cessation of breathing during sleep. Feature extraction
approaches play a key role in the performance of apnea detection algorithms that use single …
approaches play a key role in the performance of apnea detection algorithms that use single …
Recognition of emotional states using frequency effective connectivity maps through transfer learning approach from electroencephalogram signals
Abstract Convolutional Neural Networks (CNN) have been widely utilized in Emotion
Recognition (ER) research due to their vast benefits. Designing specific CNN configuration …
Recognition (ER) research due to their vast benefits. Designing specific CNN configuration …
Domain adaptation for epileptic EEG classification using adversarial learning and Riemannian manifold
P Peng, L **
Convergent cross map** is a principled causal discovery technique for signals, but its
efficacy depends on a number of assumptions about the systems that generated the signals …
efficacy depends on a number of assumptions about the systems that generated the signals …