Automatic classification of large-scale respiratory sound dataset based on convolutional neural network
K Minami, H Lu, H Kim, S Mabu… - … and Systems (ICCAS …, 2019 - ieeexplore.ieee.org
Auscultation of respiratory sounds is very important for discovering the respiratory disease.
However, there is no quantitative evaluation method for the diagnosis of respiratory sounds …
However, there is no quantitative evaluation method for the diagnosis of respiratory sounds …
Multi-time-scale features for accurate respiratory sound classification
Featured Application The automated classification of respiratory sound has gained
increasing attention in recent years and has been the subject of a growing number of …
increasing attention in recent years and has been the subject of a growing number of …
A lightweight CNN model for detecting respiratory diseases from lung auscultation sounds using EMD-CWT-based hybrid scalogram
Listening to lung sounds through auscultation is vital in examining the respiratory system for
abnormalities. Automated analysis of lung auscultation sounds can be beneficial to the …
abnormalities. Automated analysis of lung auscultation sounds can be beneficial to the …
Improvise approach for respiratory pathologies classification with multilayer convolutional neural networks
Every respiratory-related checkup includes audio samples collected from the individual,
collected through different tools (sonograph, stethoscope). This audio is analyzed to identify …
collected through different tools (sonograph, stethoscope). This audio is analyzed to identify …
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 …
Lung sounds classification using convolutional neural networks
D Bardou, K Zhang, SM Ahmad - Artificial intelligence in medicine, 2018 - Elsevier
Lung sounds convey relevant information related to pulmonary disorders, and to evaluate
patients with pulmonary conditions, the physician or the doctor uses the traditional …
patients with pulmonary conditions, the physician or the doctor uses the traditional …
Classification of respiratory sounds using improved convolutional recurrent neural network
N Asatani, T Kamiya, S Mabu, S Kido - Computers & Electrical Engineering, 2021 - Elsevier
Currently, auscultation using a stethoscope is performed for the diagnosis of respiratory
diseases. Auscultation is a simple and non-invasive diagnostic method; however, the …
diseases. Auscultation is a simple and non-invasive diagnostic method; however, the …
An automated lung sound preprocessing and classification system based onspectral analysis methods
In this work, respiratory sounds are classified into four classes in the presence of various
noises (talking, coughing, motion artefacts, heart and intestinal sounds) using support vector …
noises (talking, coughing, motion artefacts, heart and intestinal sounds) using support vector …
Feature-based fusion using CNN for lung and heart sound classification
Lung or heart sound classification is challenging due to the complex nature of audio data, its
dynamic properties of time, and frequency domains. It is also very difficult to detect lung or …
dynamic properties of time, and frequency domains. It is also very difficult to detect lung or …
Classification of lung sounds using convolutional neural networks
M Aykanat, Ö Kılıç, B Kurt, S Saryal - EURASIP Journal on Image and …, 2017 - Springer
In the field of medicine, with the introduction of computer systems that can collect and
analyze massive amounts of data, many non-invasive diagnostic methods are being …
analyze massive amounts of data, many non-invasive diagnostic methods are being …