Results 21 to 30 of about 1,083,600 (194)

Detection of Respiratory Phases in a Breath Sound and Their Subsequent Utilization in a Diagnosis

Applied Sciences, 2021
Detection of lung sounds and their propagation is a powerful tool for analysing the behaviour of the respiratory system. A common approach to detect the respiratory sounds is lung auscultation, however, this method has significant limitations including ...
David Skalicky, Vaclav Koucky, Daniel Hadraba, Martin Viteznik, Martin Dub, Frantisek Lopot   +5 more
doaj   +1 more source

Abnormal lung sounds and where they were listened, as used in the lung auscultation examination.

, 2023
Abnormal lung sounds and where they were listened, as used in the lung auscultation examination.
Ayaka Kuriyama (9663554), Chiaki Kawame (14808541), Nami Hayama (14808547), Yuki Shiko (9270233), Takuji Suzuki (11378489), Hajime Kasai (653972), Kiyoshi Shikino (10181523), Kenichiro Takeda (14808544), Shoichi Ito (7332053), Hiroshi Tajima (4607629)   +9 more
core   +1 more source

Data augmentation using Variational Autoencoders for improvement of respiratory disease classification.

PLoS ONE, 2022
Computerized auscultation of lung sounds is gaining importance today with the availability of lung sounds and its potential in overcoming the limitations of traditional diagnosis methods for respiratory diseases.
Jane Saldanha, Shaunak Chakraborty, Shruti Patil, Ketan Kotecha, Satish Kumar, Anand Nayyar   +5 more
doaj   +1 more source

Deep learning-based lung sound analysis for intelligent stethoscope

Military Medical Research, 2023
Auscultation is crucial for the diagnosis of respiratory system diseases. However, traditional stethoscopes have inherent limitations, such as inter-listener variability and subjectivity, and they cannot record respiratory sounds for offline ...
Dong-Min Huang, Jia Huang, Kun Qiao, Nan-Shan Zhong, Hong-Zhou Lu, Wen-Jin Wang   +5 more
doaj   +1 more source

Bayesian evaluation of the accuracy of a thoracic auscultation scoring system in dairy calves with bronchopneumonia using a standard lung sound nomenclature

Journal of Veterinary Internal Medicine, 2023
Background Although thoracic auscultation (AUSC) in calves is quick and easy to perform, the definition of lung sounds is highly variable and leads to poor to moderate accuracy in diagnosing bronchopneumonia (BP).
Antonio Boccardo, Salvatore Ferraro, Giulia Sala, Vincenzo Ferrulli, Davide Pravettoni, Sébastien Buczinski   +5 more
doaj   +1 more source

Lung Sound Recognition Algorithm Based on VGGish-BiGRU

IEEE Access, 2019
Pulmonary breathing sound plays a key role in the prevention and diagnosis of the lung diseases. Its correlation with pathology and physiology has become an important research topic in the pulmonary acoustics and the clinical medicine.
Lukui Shi, Kang Du, Chaozong Zhang, Hongqi Ma, Wenjie Yan   +4 more
doaj   +1 more source

Identification and prevalence of adventitious lung sounds in a general adult population [PDF]

, 2020
The main goal of this work was to describe the prevalence of adventitious lung sounds (wheezes and crackles) in a general population. We obtained lung sound recordings from 4033 participants in the 7th survey of the Tromsø. We observed a crude prevalence
Aviles Solis, Juan Carlos
core   +1 more source

Study of Techniques and Methods for Building a Database of Lung Auscultation Sounds [PDF]

Zhongguo quanke yixue
Currently, the results of lung sound auscultation with either physical or electronic stethoscopes still rely mainly on the doctor's professional auscultation identification ability, which has not yet been able to realise intelligent diagnosis and ...
ZHANG Dongying, YE Peitao, LI Qiasheng, JIAN Wenhua, LIANG Zhenyu, ZHENG Jinping
doaj   +1 more source

Details of the lecture on lung auscultation conducted in the clinical clerkship and additional training on the visualization of lung sounds.

, 2023
Details of the lecture on lung auscultation conducted in the clinical clerkship and additional training on the visualization of lung sounds.
Ayaka Kuriyama (9663554), Chiaki Kawame (14808541), Nami Hayama (14808547), Yuki Shiko (9270233), Takuji Suzuki (11378489), Hajime Kasai (653972), Kiyoshi Shikino (10181523), Kenichiro Takeda (14808544), Shoichi Ito (7332053), Hiroshi Tajima (4607629)   +9 more
core   +1 more source

Feature Extraction and Classification Methods for Lung Sounds

, 2020
The lung sounds is a non-stationary signal. It is a major challenge to analyze and differentiate the type of pulmonary disorder based on lung sounds. This paper presents a detailed review of existing methods of feature extraction and classification of ...
Dr. Nishi Shahnaj Haider, null null
core   +1 more source