[HTML][HTML] Abnormal respiratory sounds classification using deep CNN through artificial noise addition
Respiratory sound (RS) attributes and their analyses structure a fundamental piece of
pneumonic pathology, and it gives symptomatic data regarding a patient's lung. A couple of …
pneumonic pathology, and it gives symptomatic data regarding a patient's lung. A couple of …
Computerized lung sound based classification of asthma and chronic obstructive pulmonary disease (COPD)
NS Haider, AK Behera - Biocybernetics and Biomedical Engineering, 2022 - Elsevier
Diagnostic ambiguity between chronic pulmonary diseases like asthma and Chronic
Obstructive Pulmonary Disease (COPD) is very high, as they exhibit similar symptoms …
Obstructive Pulmonary Disease (COPD) is very high, as they exhibit similar symptoms …
A review of classification techniques based on neural networks for pulmonary obstructive diseases
R Dubey, RM Bodade - Proceedings of Recent Advances in …, 2019 - papers.ssrn.com
The automatic analysis of respiratory sound is of enormous challenge. The success of the
Automatic Classification of pulmonary obstructive diseases can carry a radical change in the …
Automatic Classification of pulmonary obstructive diseases can carry a radical change in the …
Extraction of low-dimensional features for single-channel common lung sound classification
In this study, feature extraction methods used in the classification of single-channel lung
sounds obtained by automatic identification of respiratory cycles were examined in detail in …
sounds obtained by automatic identification of respiratory cycles were examined in detail in …
Adventitious and Normal Respiratory Sound Analysis with Machine Learning Methods
The computerized respiratory sound analysis systems provide vital information concerning
the current condition of the lung. These systems, used by physicians for the diagnosis of …
the current condition of the lung. These systems, used by physicians for the diagnosis of …
Acquisition and classification of lung sounds for improving the efficacy of auscultation diagnosis of pulmonary diseases
B Abera Tessema, HD Nemomssa… - Medical Devices …, 2022 - Taylor & Francis
Purpose Lung diseases are the third leading cause of death worldwide. Stethoscope-based
auscultation is the most commonly used, non-invasive, inexpensive, and primary diagnostic …
auscultation is the most commonly used, non-invasive, inexpensive, and primary diagnostic …
Lung sound classification using multiresolution Higuchi fractal dimension measurement.
Lung sound is one indicator of abnormalities in the lungs and respiratory tract. Research for
automatic lung sound classification has become one of the interests for researchers …
automatic lung sound classification has become one of the interests for researchers …
Burg power spectral density-based characterization of Doppler blood flow sound during hemorrhoidal artery ligation
Hemorrhoidal artery ligation (HAL) has become universally accepted minimally invasive
treatment of hemorrhoids disease. HAL involves precise identification of the superior rectal …
treatment of hemorrhoids disease. HAL involves precise identification of the superior rectal …
Osas hastaları için CPAP cihazlarındaki optimum basıncın yapay zeka ile tahmini
FZ Göğüş - 2020 - gcris.ktun.edu.tr
Tıkayıcı uyku apne sendromu (Obstructive Sleep Apnea Syndrome: OSAS), uyku sırasında
tekrarlayan üst solunum yolu daralmaları veya tıkanmaları nedeniyle soluk kesilmeleri …
tekrarlayan üst solunum yolu daralmaları veya tıkanmaları nedeniyle soluk kesilmeleri …
Recent Trends in the Diagnosis of Pulmonary Disorders using Artificial Intelligence Model
Pulmonary disorder is one of the most common health issues faced by several people.
Patients with Pulmonary disorder suffer from several disorders like COPD (Chronic …
Patients with Pulmonary disorder suffer from several disorders like COPD (Chronic …