Results 121 to 130 of about 1,017,066 (287)

Respiratory sound analysis for ICU clinical decision support: deep learning-based classification of normal and abnormal sounds using real ICU data

BMC Medical Informatics and Decision Making
Background Auscultation is a noninvasive, real-time method of assessing respiratory diseases; however, its accuracy can vary depending on the clinician’s experience.
Soyun Kim, Mi Ra Lee, Taeyoung Ha, YunKyong Hyon, Sunju Lee, Junhong Jo, Chaeuk Chung, Yoonjoo Kim, Song I Lee   +8 more
doaj   +1 more source

Evaluation of Respiratory Sounds Using Image-Based Approaches for Health Measurement Applications. [PDF]

IEEE Open J Eng Med Biol, 2022
Cohen-McFarlane M, Xi P, Wallace B, Habashy K, Huq S, Goubran R, Knoefel F.   +6 more
europepmc   +1 more source

Cytotoxicity of 19 Pesticides in Rainbow Trout Gill, Liver, and Intestinal Cell Lines

Environmental Toxicology and Chemistry, EarlyView.
Abstract The rainbow trout gill cell line (RTgill‐W1), via test guideline 249 of the Organisation for Economic Co‐operation and Development, has been established as a promising New Approach Methodology, although to advance confidence in the method more case studies are needed that: 1) expand our understanding of applicability domains (chemicals with ...
Sophie Emberley‐Korkmaz, Krittika Mittal, Na'im Temlock, Jessica Head, Niladri Basu   +4 more
wiley   +1 more source

Histogram Classification of Acoustic Breath Sounds [PDF]

, 2009
A novel approach to classifying sounds recorded at the trachea is introduced. The sounds in question are normal breath sounds and snore sounds. The sounds are classified by a the combination of a histogram classifier and a repeated pulse counting ...
Christensen, Douglas, Hill, Bryce E.
core   +1 more source

Monitoring and analysis of lung sounds remotely

, 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
core  

Measurement of abnormal respiratory sounds during over-ground exercise

, 2006
Reasons for performing studyThe presence of abnormal respiratory sounds is commonly associated with obstructions of the upper respiratory tract. In order to establish their clinical significance measurements are required of both normal and abnormal ...
Burn, J., Franklin, S., Franklin, SH, Burn, JF   +3 more
core   +1 more source

Computer-Aided Detection of Respiratory Sounds in Bronchial Asthma Patients Based on Machine Learning Method. [PDF]

Sovrem Tekhnologii Med, 2022
Gelman A, Furman EG, Kalinina NM, Malinin SV, Furman GB, Sheludko VS, Sokolovsky VL.   +6 more
europepmc   +1 more source

Trendelenburg positioning with or without norepinephrine infusion for haemodynamic support in anaesthetised hypovolemic horses

Equine Veterinary Journal, EarlyView.
Abstract Background Intraoperative haemorrhage during equine anaesthesia is a rare but potentially fatal complication requiring prompt haemodynamic support. Postural manoeuvres such as Trendelenburg (TL) positioning and vasopressor support augment venous return and improve cardiac output (CO), yet their efficacy in anaesthetised hypovolemic horses ...
Vaidehi V. Paranjape, Klaus Hopster, Ismar Lutvikadic, Bernd Driessen   +3 more
wiley   +1 more source

Machine learning-driven strategies for enhanced pediatric wheezing detection

Frontiers in Pediatrics
BackgroundAuscultation is a critical diagnostic feature of lung diseases, but it is subjective and challenging to measure accurately. To overcome these limitations, artificial intelligence models have been developed.MethodsIn this prospective study, we ...
Hye Jeong Moon, Hyunmin Ji, Hyunmin Ji, Baek Seung Kim, Beom Joon Kim, Kyunghoon Kim, Kyunghoon Kim   +6 more
doaj   +1 more source

Artificial Intelligence Approach to the Monitoring of Respiratory Sounds in Asthmatic Patients. [PDF]

Front Physiol, 2021
Hafke-Dys H, Kuźnar-Kamińska B, Grzywalski T, Maciaszek A, Szarzyński K, Kociński J.   +5 more
europepmc   +1 more source