Electroencephalography (EEG) is a non-invasive measurement method for brain activity.
Due to its safety, high resolution, and hypersensitivity to dynamic changes in brain neural …

Abstract Background and objective Chronic Obstructive Pulmonary Disease (COPD) is one
of the world's worst diseases; its early diagnosis using existing methods like statistical …

Detecting respiratory diseases is of utmost importance, considering that respiratory ailments
represent one of the most prevalent categories of diseases globally. The initial stage of lung …

Abstract Machine learning algorithms have recently been increasingly used in medical data,
particularly in healthcare areas where image processing techniques have played a crucial …

Introduction Cytoarchitectonic studies have uncovered a correlation between higher levels
of cortical hierarchy and reduced dendritic size. This hierarchical organization extends to the …

Background Computed tomography (CT) plays a great role in characterizing and quantifying
changes in lung structure and function of chronic obstructive pulmonary disease (COPD) …

Camera-based respiration monitoring is currently focused on the continuous measurement
of respiratory rate, overlooking its potential in lung health assessment. Inspired by …

Background: The use of a smartphone built-in microphone for auscultation is a feasible
alternative to the use of a stethoscope, when applied by physicians. Objective: This cross …

Lung disease is one of the most widespread types of disease, especially in the era of COVID-
19. Its diagnosis is of great importance, as different types have diverse treatments and …

Automatic detection of mechanical failure is an essential technology in the fourth industrial
revolution, which involves artificial-intelligence-based factory automation. The primary …