Results 101 to 110 of about 120,712 (335)
Advanced Intelligent Systems, EarlyView.This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang +6 more
wiley +1 more source
BMC Pulmonary Medicine, 2019 Background Wheezes and crackles are well-known signs of lung diseases, but can also be heard in apparently healthy adults. However, their prevalence in a general population has been sparsely described.
J. C. Aviles-Solis +6 more
doaj +1 more source
International Forum of Allergy &Rhinology, EarlyView.ABSTRACT Background Chronic rhinosinusitis (CRS) and olfactory dysfunction (OD) are highly prevalent among people with cystic fibrosis (PwCF) and negatively impact quality of life. The 40‐item Smell Identification Test (SIT) is widely used to assess psychophysical olfaction, but a CF‐specific minimal clinically important difference (MCID) has not been ...
Eugene Oh +34 more
wiley +1 more source
MEMS piezoelectric resonant microphone array for lung sound classification [PDF]
, 2023 Hai Liu +7 more
openalex +1 more source
Computerised Lung Auscultation – Sound Software (CLASS)
Procedia Computer Science, 2015 AbstractComputer-assisted learning tools have been shown to promote self-directed learning and enhance problem-solving skills. However, few have been developed in the area of respiratory medicine and the majority does not include all the required features for integration of knowledge (e.g., sound recording and analysis).
Semedo, José +8 more
openaire +2 more sources
Severe, Non‐apneic Respiratory Dysfunction and Hypoxia following Generalized Convulsive Seizures
Annals of Neurology, EarlyView.Objective Sudden unexpected death in epilepsy (SUDEP) is a devastating consequence of some generalized convulsive seizures (GCS). Recent work has focused on seizure related apnea as a biomarker of SUDEP risk, frequently without characterizing the adequacy of non‐apneic ventilation or identifying other dysfunctional breathing patterns.
Haley E. Pysick +9 more
wiley +1 more source
British Journal of Clinical Pharmacology, EarlyView.Aim Clinically, interstitial lung disease (ILD) is a heterogeneous group of respiratory disorders. Due to their low incidence, pharmacovigilance database analysis is useful to detect them. Precise diagnosis is challenging as well as coding in these databases. Query criteria are among the key elements for a good signal detection.
Romane Freppel +4 more
wiley +1 more source
Performance evaluation of lung sounds classification using deep learning under variable parameters
EURASIP Journal on Advances in Signal ProcessingIt is desired to apply deep learning models (DLMs) to assist physicians in distinguishing abnormal/normal lung sounds as quickly as possible. The performance of DLMs depends on feature-related and model-related parameters heavily.
Zhaoping Wang, Zhiqiang Sun
doaj +1 more source
Biological Reviews, EarlyView.ABSTRACT Oropharyngeal food processing exhibits a remarkable diversity among vertebrates, reflecting the evolution of specialised ‘processing centres’ associated with the mandibular, hyoid, and branchial arches. Although studies have detailed various food‐processing strategies and mechanisms across vertebrates, a coherent and comprehensive terminology ...
Daniel Schwarz +6 more
wiley +1 more source
A case study of technology transfer: Cardiology [PDF]
Research advancements in cardiology instrumentation and techniques are summarized. Emphasis is placed upon the following techniques: (1) development of electrodes which show good skin compatibility and wearer comfort; (2) contourography - a real time ...
Schafer, G.
core +1 more source