Results 11 to 20 of about 1,083,600 (194)

Using K-Nearest Neighbor Classification to Diagnose Abnormal Lung Sounds

Sensors, 2015
A reported 30% of people worldwide have abnormal lung sounds, including crackles, rhonchi, and wheezes. To date, the traditional stethoscope remains the most popular tool used by physicians to diagnose such abnormal lung sounds, however, many problems ...
Chin-Hsing Chen, Wen-Tzeng Huang, Tan-Hsu Tan, Cheng-Chun Chang, Yuan-Jen Chang   +4 more
doaj   +2 more sources

Classification of Lung Sounds with Deep Learning [PDF]

Gazi Üniversitesi Fen Bilimleri Dergisi, 2020
Lung diseases are among the diseases that seriously threaten human health, and many deaths today are caused by lung diseases. Thanks to the lung sounds, important inferences can be made about lung diseases.
Mehmet Bilal ER
doaj   +2 more sources

Changes in lung sounds during asthma progression in a guinea pig model

Allergology International, 2016
Background: Lung sound analysis is useful for objectively evaluating airways even in children with asymptomatic asthma. However, the relationship between lung sounds and morphological changes in the airways has not been elucidated.
Chizu Habukawa, Katsumi Murakami, Kazuya Sugitani, Tomohiro Ohtani, Gabriel Pramudita Saputra, Katsuki Kashiyama, Yukio Nagasaka, Shigeo Wada   +7 more
doaj   +2 more sources

Monitoring and analysis of lung sounds remotely

International Journal of COPD, 2011
Nitin SahgalDepartment of Instrumentation Technology, RV College of Engineering, Bangalore, Karnataka, IndiaAbstract: Visual and auditory analysis of respiratory sound signals promises improved detection of certain types of lung diseases.
Sahgal N
doaj   +1 more source

Usefulness of Simulation Based Learning in First Year Medical Students: A Quasi-experimental Study [PDF]

Journal of Clinical and Diagnostic Research, 2022
Introduction: Auscultation of chest is an important part of clinical patient assessment and the skills required to interpret it are traditionally learned by listening the heart and lung sounds of many different patients.
Vinod Shende, Sachin Pawar, Suvarna Sande   +2 more
doaj   +1 more source

Digital Pulmonology Practice with Phonopulmography Leveraging Artificial Intelligence: Future Perspectives Using Dual Microwave Acoustic Sensing and Imaging

Sensors, 2023
Respiratory disorders, being one of the leading causes of disability worldwide, account for constant evolution in management technologies, resulting in the incorporation of artificial intelligence (AI) in the recording and analysis of lung sounds to aid ...
Arshia K. Sethi, Pratyusha Muddaloor, Priyanka Anvekar, Joshika Agarwal, Anmol Mohan, Mansunderbir Singh, Keerthy Gopalakrishnan, Ashima Yadav, Aakriti Adhikari, Devanshi Damani, Kanchan Kulkarni, Christopher A. Aakre, Alexander J. Ryu, Vivek N. Iyer, Shivaram P. Arunachalam   +14 more
doaj   +1 more source

Lung sound classification using wavelet transform and entropy to detect lung abnormality [PDF]

Serbian Journal of Electrical Engineering, 2022
Lung sounds provide essential information about the health of the lungs and respiratory tract. They have unique and distinguishable patterns associated with the abnormalities in these organs.
Rizal Achmad, Puspitasari Attika
doaj   +1 more source

International perception of lung sounds: a comparison of classification across some European borders. [PDF]

BMJ Open Respir Res, 2017
Introduction: Lung auscultation is helpful in the diagnosis of lung and heart diseases; however, the diagnostic value of lung sounds may be questioned due to interobserver variation.
Aviles-Solis JC, Vanbelle S, Halvorsen PA, Francis N, Cals JWL, Andreeva EA, Marques A, Piirilä P, Pasterkamp H, Melbye H.   +9 more
europepmc   +2 more sources

Explainable attention ResNet18-based model for asthma detection using stethoscope lung sounds

, 2023
This study proposes an accurate asthma detection model using an attention network and machine learning technique. The objective of this study is the automated detection of asthma using an attention network. The lung sounds from 203 subjects involving 767
Yildiz, Arif Metehan, Gul, Huseyin Fatih, Barua, Prabal Datta, Baygin, Mehmet, Tuncer, Turker, Keles, Tugce, Acharya, U. Rajendra, Dogan, Sengul, Topaloglu, Ihsan, Tan, Ru-San   +9 more
core   +2 more sources

Interpretation of Heart and Lungs Sounds Acquired via Remote, Digital Auscultation Reached Fair-to-Substantial Levels of Consensus among Specialist Physicians

Diagnostics, 2023
Background. Technological advancement may bridge gaps between long-practiced medical competencies and modern technologies. Such a domain is the application of digital stethoscopes used for physical examination in telemedicine.
Diana Magor, Evgeny Berkov, Dmitry Siomin, Eli Karniel, Nir Lasman, Liat Radinsky Waldman, Irina Gringauz, Shai Stern, Reut Lerner Kassif, Galia Barkai, Hadas Lewy, Gad Segal   +11 more
doaj   +1 more source