Background Transfer learning is a form of machine learning where a pre-trained model
trained on a specific task is reused as a starting point and tailored to another task in a …

Study Objectives: Machine learning (ML) models have been employed in the setting of sleep
disorders. This review aims to summarize the existing data about the role of ML techniques …

Snoring is a typical syndrome of obstructive sleep apnea hypopnea syndrome (OSAHS).
The acoustic analysis of snoring sound has been proved potential to develop a non-invasive …

Remote monitoring and measurement are valuable tools for medical applications and they
are particularly important in the context of pandemic outbreaks, like the current COVID-19 …

Goal: The evaluation of respiratory events using audio sensing in an at-home setting can be
indicative of worsening health conditions. This paper investigates the use of image-based …

Abstract Purpose of Review Wearable technologies, both clinical and consumer devices,
have gained tremendous popularity in recent years. They can monitor various parameters …

Background: Sleep apnea is a prevalent sleep disorder, especially in males and older ages.
The common diagnostic methods, including polysomnography (PSG), are expensive, difficult …

Objective. Obstructive sleep apnea (OSA) is a high-incidence disease that is seriously
harmful and potentially dangerous. The objective of this study was to develop a noncontact …

Objective. Snoring is a typical symptom of Obstructive Sleep Apnea Hypopnea Syndrome
(OSAHS). In this study, an effective OSAHS patient detection system based on snoring …

Objective. Snoring is the most typical symptom of obstructive sleep apnea hypopnea
syndrome (OSAHS) that can be used to develop a non-invasive approach for automatically …