A systematic survey of computer-aided diagnosis in medicine: Past and present developments

J Yanase, E Triantaphyllou - Expert Systems with Applications, 2019 - Elsevier
Computer-aided diagnosis (CAD) in medicine is the result of a large amount of effort
expended in the interface of medicine and computer science. As some CAD systems in …

Contact-based methods for measuring respiratory rate

C Massaroni, A Nicolò, D Lo Presti, M Sacchetti… - Sensors, 2019 - mdpi.com
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 …

A lightweight CNN model for detecting respiratory diseases from lung auscultation sounds using EMD-CWT-based hybrid scalogram

SB Shuvo, SN Ali, SI Swapnil, T Hasan… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
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 …

An open access database for the evaluation of respiratory sound classification algorithms

BM Rocha, D Filos, L Mendes, G Serbes… - Physiological …, 2019 - iopscience.iop.org
Objective: Over the last few decades, there has been significant interest in the automatic
analysis of respiratory sounds. However, currently there are no publicly available large …

Auscultation of the respiratory system

M Sarkar, I Madabhavi, N Niranjan… - Annals of thoracic …, 2015 - journals.lww.com
Auscultation of the lung is an important part of the respiratory examination and is helpful in
diagnosing various respiratory disorders. Auscultation assesses airflow through the trachea …

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 …

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 …

The coming era of a new auscultation system for analyzing respiratory sounds

Y Kim, YK Hyon, S Lee, SD Woo, T Ha… - BMC Pulmonary …, 2022 - Springer
Auscultation with stethoscope has been an essential tool for diagnosing the patients with
respiratory disease. Although auscultation is non-invasive, rapid, and inexpensive, it has …

Lung sound classification using cepstral-based statistical features

N Sengupta, M Sahidullah, G Saha - Computers in biology and medicine, 2016 - Elsevier
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 …

Recognition of pulmonary diseases from lung sounds using convolutional neural networks and long short-term memory

M Fraiwan, L Fraiwan, M Alkhodari… - Journal of Ambient …, 2022 - Springer
In this paper, a study is conducted to explore the ability of deep learning in recognizing
pulmonary diseases from electronically recorded lung sounds. The selected data-set …