There is an ever-growing demand for measuring respiratory variables during a variety of
applications, including monitoring in clinical and occupational settings, and during sporting …

Lung sounds convey relevant information related to pulmonary disorders, and to evaluate
patients with pulmonary conditions, the physician or the doctor uses the traditional …

Lung sounds convey useful information related to pulmonary pathology. In this paper, short-
term spectral characteristics of lung sounds are studied to characterize the lung sounds for …

In recent years deep learning models improve the diagnosis performance of many diseases
especially respiratory diseases. This paper will propose an evaluation for the performance of …

Building upon the findings from the field of automated recognition of respiratory sound
patterns, we propose a wearable wireless sensor implementing on-board respiratory sound …

Emerging evidence suggests that respiratory frequency (fR) is a valid marker of physical
effort. This has stimulated interest in develo** devices that allow athletes and exercise …

Objective: This paper examines the integration of a noninvasive vital sign monitoring feature
into the workers' hearing protection devices (HPDs) by using a microphone positioned within …

During the diagnosis of pulmonary diseases, the doctor listens to the lung sounds on the
patient's chest using a traditional stethoscope for the earlier detection of abnormal …

The second order difference plot (SODP) is a nonlinear signal analysis method that
visualizes two consecutive data points for many types of biomedical signals. The proposed …

This paper proposed various feature extraction procedures to separate crackles and rhonchi
of pathological lung sounds from normal lung sounds. The feature extraction process for …