Learning temporal patterns in time series remains a challenging task up until today.
Particularly for anomaly detection in time series, it is essential to learn the underlying …

Paraquat (PQ) poisoning seriously harms the health of humanity. An effective diagnostic
method for paraquat poisoned patients is a crucial concern. Nevertheless, it's difficult to …

This study proposes a new model which is fully specified for automated seizure onset
detection and seizure onset prediction based on electroencephalography (EEG) …

Chronic kidney disease (CKD) is a global health problem with high morbidity and mortality
rate, and it induces other diseases. Since there are no obvious symptoms during the early …

The electrocardiogram (ECG) is one of the most important techniques for heart disease
diagnosis. Many traditional methodologies of feature extraction and classification have been …

Background Ample studies have shown the effectiveness of internet-delivered cognitive
behavioral therapy (iCBT) for anxiety disorders. These studies recruited their participants …

Prehospital medical care is a major challenge for both civilian and military situations as
resources are limited, yet critical triage and treatment decisions must be rapidly made …

Chronic kidney disease (CKD) is a global public health problem, affecting approximately
10% of the population worldwide. Yet, there is little direct evidence on how CKD can be …

The arrhythmia is an important group of cardiovascular disease. Electrocardiogram (ECG) is
commonly used for detecting arrhythmias. Computer-aided diagnosis system can diagnose …

In this paper, we propose a new automated quality-aware electrocardiogram (ECG) beat
classification method for effective diagnosis of ECG arrhythmias under unsupervised …