Computerized respiratory sound analysis has recently captured the attention of researchers,
and its implementation can assist physicians in the diagnosis of pulmonary pathologies. The …

A critical overview of non-stationary random vibration modelling and analysis via the class of
Functional Series Time-dependent AutoRegressive Moving Average (FS-TARMA) models is …

Airflow is the reference signal to assess sleep respiratory disorders, such as sleep apnea.
Previous studies estimated airflow using tracheal sounds in short segments with specific …

Purpose Due to lack of access and high cost of polysomnography, portable sleep apnea
testing has been developed to diagnose sleep apnea. Despite being less expensive, and …

The aim of this work is the estimation of respiratory flow from lung sound recordings, ie
acoustic airflow estimation. With a 16-channel lung sound recording device, we …

Introduction: This article is part of the Focus Theme of Methods of Information in Medicine on
“Biosignal Interpretation: Advanced Methods for Studying Cardiovascular and Respiratory …

The primary objective of this analysis to provide an overview of the respiratory airflow
estimation techniques, including both acoustic and non-acoustic approaches. This paper …

The purpose of this study is to find a useful mathematical model for multi-channel pulmonary
sound data. Vector auto-regressive (VAR) model schema is adopted and the best set of …

The respiration pattern represents the volume of air in the lungs as a function of time during
human respiration process. Abnormal changes in this pattern can be signs of several …

In this work, a new methodology to estimate the respiratory air flow rate from pulmonary
sounds is proposed. Previously in the literature, it has been suggested to use the auto …