Results 51 to 60 of about 54,673 (253)

Auscultation of the respiratory system

open access: yesAnnals of Thoracic Medicine, 2015
Auscultation of the lung is an important part of the respiratory examination and is helpful in diagnosing various respiratory disorders. Auscultation assesses airflow through the trachea-bronchial tree.
Malay Sarkar   +3 more
doaj   +1 more source

Variational Autoencoders for Anomaly Detection in Respiratory Sounds

open access: yes, 2022
Published at ICANN ...
Cozzatti M.   +2 more
openaire   +2 more sources

A Monolithic Janus Hydrogel Pressure Sensor for Wearable Motion and Physiological Monitoring

open access: yesAdvanced Science, EarlyView.
This work reports a monolithic Janus hydrogel pressure sensor featuring integrated conductive PEDOT and insulating PEGDA layers. The fabricated device achieves a rapid response time, a wide operating range, and good cyclic durability. The sensor demonstrates robust performance in tracking dynamic human joint motions, offering a scalable strategy for ...
Syed Atif Ali   +7 more
wiley   +1 more source

Wheezing as a respiratory sound

open access: yes, 2018
The auscultation of breathing sounds dates back to the years of Hippocrates and was revolutionized after the invention of the stethoscope by Laennec in 1816. Wheezing was amongst the five different types of respiratory sounds described by Laennec. His original description was “the whistling of little birds”.
Chatziparasidis, G.   +2 more
openaire   +3 more sources

Piezo‐Coupling Effects in Smart Polymers: Toward Ultrasensitive Sensing and Biomedical Applications

open access: yesAdvanced Science, EarlyView.
Piezo‐coupling effects are the foundational factors for the development of multifunctional and self‐powered platforms. Central to this advancement is the use of stimuli‐responsive smart polymers, which offer mechanical flexibility, biocompatibility, and simplified structural complexity with improved sensitivity and energy efficiency.
Duc Khanh Tran   +6 more
wiley   +1 more source

Enhanced Lung Disease Detection Using Double Denoising and 1D Convolutional Neural Networks on Respiratory Sound Analysis

open access: yesComputer Sciences & Mathematics Forum
The accurate and early detection of respiratory diseases is vital for effective diagnosis and treatment. This study presents a new approach for classifying lung sounds using a double denoising method combined with a 1D Convolutional Neural Network (CNN).
Reshma Sreejith   +3 more
doaj   +1 more source

From Flexible to Conformable Pressure Sensors: Mechanisms, Materials, and Biomedical Applications

open access: yesAdvanced Electronic Materials, EarlyView.
This review highlights recent progress, challenges and future opportunities in pressure sensing for advanced biomedical applications. We summarize key transduction mechanisms and emerging material strategies, discuss representative wearable and implantable applications for continuous physiological monitoring and provide a focused perspective on barrier
Rishabh B. Mishra   +2 more
wiley   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang   +3 more
wiley   +1 more source

Using K-Nearest Neighbor Classification to Diagnose Abnormal Lung Sounds

open access: yesSensors, 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   +4 more
doaj   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

open access: yesAdvanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta   +3 more
wiley   +1 more source

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