Results 311 to 320 of about 96,794 (349)

Towards Accurate Auscultation Sound Classification with Convolutional Neural Network

2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA), 2023
Deep learning algorithms have been incorporated into conventional auscultation procedures, advancing the area of respiratory sound analysis. Convolutional Neural Network and Gated Recurrent Unit deep learning models were used in a study to increase the ...
S. Abhishek, Mahima Chowdary Mannava, A. Ananthapadmanabhan, A. T.   +3 more
semanticscholar   +1 more source

Comparison of Systolic Blood Pressure Measurements by Auscultation and Visual Manometer Needle Jump

International Journal of Exercise Science, 2019
Purpose This study was designed to investigate differences in systolic blood pressure measurements as obtained through auscultation and observation of the visual jump on the manometer.
Samuel A. Trigg, Dalan Abreu, Brenan BITTON-FORONDA, Francesca C. Foley, Ann L. Gibson   +4 more
semanticscholar   +1 more source

Challenges of de-implementing feeding tube auscultation: A qualitative study.

International Journal of Nursing Practice, 2021
AIM This qualitative study explored de-implementation of feeding tube auscultation practice in adult patients by critical care nurses. BACKGROUND Despite years of evidence suggesting inaccuracy and harm, auscultation (air bolus method) continues to be ...
A. Bourgault, M. Upvall, Samantha Nicastro, J. Powers   +3 more
semanticscholar   +1 more source

Characteristics of Pulmonary Auscultation in Patients with 2019 Novel Coronavirus in China

Respiration, 2020
Background: Effective auscultations are often hard to implement in isolation wards. To date, little is known about the characteristics of pulmonary auscultation in novel coronavirus (COVID-19) pneumonia.
Bo Wang, Yanbin Liu, Ye Wang, W. Yin, Tao Liu, Dan Liu, Diandian Li, M. Feng, Yanlin Zhang, Zongan Liang, Z. Fu, Siyun Fu, Wei-min Li, N. Xiong, Gang Wang, F. Luo   +15 more
semanticscholar   +1 more source

Evaluation of Deep Learning Methods (DnCNN and U-Net) for Denoising of Heart Auscultation Signals

2020 3rd International Conference on Communication System, Computing and IT Applications (CSCITA), 2020
Every year, around 17.9 million people die due to Cardiovascular Diseases which is 31% of global deaths. These numbers indicate the need for a system that should be sensitive to detect Heart Disease at an early stage.
Taresh Sarvesh Sharan, Romel Bhattacharjee, Shiru Sharma, Neeraj Sharma   +3 more
semanticscholar   +1 more source

Validation of exercise testing and laryngeal auscultation for grading brachycephalic obstructive airway syndrome in pugs, French bulldogs, and English bulldogs by using whole‐body barometric plethysmography

Veterinary surgery, 2019
OBJECTIVE To determine whether the sensitivity of clinical examination for assessing upper airway disease severity in 3 breeds of brachycephalic dogs can be improved by incorporating an exercise test (ET) or by auscultation of a laryngeal stridor to ...
J. Riggs, Nai-Chieh Liu, D. R. Sutton, D. Sargan, J. Ladlow   +4 more
semanticscholar   +1 more source

Elements of Auscultation

2006
In order to get the most and useful information, auscultation of the heart should be focused and done in a methodical way and not just carried out in a haphazard manner. Generally by the time one is ready to auscultate, the diagnostic possibilities must have been narrowed down considerably.
Franklin Saksena, Narasimhan Ranganathan, Vahe Sivaciyan   +2 more
openaire   +2 more sources

Auscultation of the Heart.

Archives of Internal Medicine, 1966
This book, together with an accompanying illustrative long-playing (331/2 rpm) monaural record, represents an attempt to classify, describe, and illustrate the various heart sounds and murmurs, and is offered for practicing physicians as well as for students.
openaire   +2 more sources