Ballistocardiography (BCG) and seismocardiography (SCG) are non-invasive techniques
used to record the micromovements induced by cardiovascular activity at the body's center …

The visual sleep stages scoring by human experts is the current gold standard for sleep
analysis. However, this method is tedious, time-consuming, prone to human errors, and …

Abstract Background and Objectives Prediction of patient deterioration is essential in
medical care, and its automation may reduce the risk of patient death. The precise …

One-class classification (OCC) is a classification task where the training data have only one
class. The goal is to classify input data into one seen class or other unseen classes. This …

Automated computer-aided diagnosis (CAD) has become an essential approach in the early
detection of health issues. One of the significant benefits of this approach is high accuracy …

This article explores the importance of wearable and remote technologies in healthcare. The
focus highlights its potential in continuous monitoring, examines the specificity of the issue …

Deciding the signal length is an important challenge for one-class time-series classification
(OCTSC). This paper aims to develop an OCTSC algorithm that does not require model …

Neurosurgeons often encounter dilemmas in the clinical management of cerebral
aneurysms owing to an uncertainty of their rupture status and rupture risk. This study …

Deterioration is the significant degradation of the physical state prior to death. Detecting the
deterioration of patients could provide an early warning to their families in instances of …

Background Obstructive sleep apnea (OSA) is a chronic sleep disorder characterized by
frequent cessations or reductions of breathing during sleep. Polysomnography (PSG) is a …