Background Extremely preterm infants (≤ 28 weeks gestation) commonly require
endotracheal intubation and mechanical ventilation (MV) to maintain adequate oxygenation …

Historically, the lack of patients' sleep histories has caused low identification of sleep apnea
(SA) and referral rates. Moreover, the costly and time-consuming nature of …

Infants are at risk for potentially life-threatening postoperative apnea (POA). We developed
an Automated Unsupervised Respiratory Event Analysis (AUREA) to classify breathing …

This paper reports on the approach for the design and development of the H2020 ChArGED
project framework. ChArGED addresses energy wastage and proposes a framework that …

The aim of the study is to develop a method for detection of pathological respiratory sound,
caused by bronchial asthma, with the aid of machine learning techniques. Materials and …

Using a database containing audio files of respiratory sound records of asthmatic patients
and healthy patients, a method of computer-aided diagnostics based on the machine …

In developing state of the art applications for Internet of Things (IoT) and Cyber Physical
Systems (CPS), most applications software and associated hardware are always developed …

Mild to moderate equine asthma (mEA) occurs commonly and clinical signs can be vague.
Conformation is usually made with bronchoalveolar lavage fluid (BALF) cytology. This test …

Цель исследования-с помощью технологии машинного обучения разработать метод
детекции патологических респираторных шумов, возникающих при бронхиальной …

Manual scoring (MS) of cardiorespiratory signals is the gold standard method for the
analysis of respiratory data in sleep laboratories. In MS, trained, expert scorers characterize …