Results 51 to 60 of about 118,505 (295)

An Effective Respiratory Sound Endpoint Detection for Electronic Stethoscope Based on Machine Learning

IET Signal Processing
Compared to human speech and multimedia audio, the amplitude of lung respiratory sounds is extremely weak, with minimal differences between the respiratory sounds of various lung diseases. Traditional methods, such as Mel-frequency cepstral coefficients (
Bo Hu, Runwei Chen, Weifeng Zhu, Jin Zhan, Dongying Zhang, JinPing Zheng   +5 more
doaj   +1 more source

Respiratory sound recorder – continued Innovation

Pediatrics. Consilium Medicum, 2021
The study of external respiratory function (ERF) is important in the diagnosis of respiratory tract abnormalities in various diseases. In children, especially at an early age, there are many difficulties in conducting studies. In recent decades, due to the development of computer technology, there is great interest in the study of respiratory sounds ...
Lada S. Starostina, Natalia A. Geppe, Vladimir S. Malyshev, Saniia I. Valieva, Irina L. Ginesina, Aleksandr B. Malakhov, Dmitrii G. Bukharov, Svetlana I. Shatalina, Tatiana V. Zubareva   +8 more
openaire   +1 more source

Multi‐Scale Interface Engineering of MXenes for Multifunctional Sensory Systems

Advanced Functional Materials, EarlyView.
MXenes, as two‐dimensional transition metal carbides and nitrides, demonstrate remarkable capabilities for multifunctional sensing applications. This review systematically examines multi‐scale interface engineering approaches that enhance sensing performance, enable diverse detection functionalities, and improve system‐level compatibility in MXene ...
Jiaying Liao, Sin‐Yi Pang, Jianhua Hao
wiley   +1 more source

A machine learning approach to the development and prospective evaluation of a pediatric lung sound classification model

Scientific Reports, 2023
Auscultation, a cost-effective and non-invasive part of physical examination, is essential to diagnose pediatric respiratory disorders. Electronic stethoscopes allow transmission, storage, and analysis of lung sounds.
Ji Soo Park, Kyungdo Kim, Ji Hye Kim, Yun Jung Choi, Kwangsoo Kim, Dong In Suh   +5 more
doaj   +1 more source

Smart Face Masks as Wearable Respiratory Sensors: A Review of Sensor Technologies, Materials, and Future Directions

Advanced Healthcare Materials, EarlyView.
This review highlights recent advances in smart face masks that actively monitor breathing. By integrating humidity, gas, temperature, pressure, strain, and triboelectric sensors, these masks track key respiratory parameters in real time. The article summarizes sensor mechanisms, compares performance across studies, and discusses challenges and future ...
Negin Faramarzi, Naseeh Backer Kannanthodi, Alice Nicole Casling, Babar Ali, Samira Lakouraj Mansouri, Alessandro Giuseppe D'aloia, Hossein Cheraghi Bidsorkhi, Maria Sabrina Sarto   +7 more
wiley   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

DeepCough: A Deep Convolutional Neural Network in A Wearable Cough Detection System

, 2015
In this paper, we present a system that employs a wearable acoustic sensor and a deep convolutional neural network for detecting coughs. We evaluate the performance of our system on 14 healthy volunteers and compare it to that of other cough detection ...
Amoh, Justice, Odame, Kofi
core   +1 more source

Non-invasive devices for respiratory sound monitoring

Procedia Computer Science, 2021
Respiratory diseases are leading causes of death and disability in the world. The recent COVID-19 pandemic is also affecting the respiratory system. Detecting and diagnosing respiratory diseases requires both medical professionals and the clinical environment. Most of the techniques used up to date were also invasive or expensive.
Troncoso, Ángela, Ortega, Juan Antonio, Seepold, Ralf, Martínez Madrid, Natividad   +3 more
openaire   +5 more sources

Large‐Area 2D Metasurface‐Based Triboelectric E‐Skin Arrays: Contact & Proximity Tactile Mapping with Broadband Acoustic Readouts

Advanced Materials, EarlyView.
Metasurface‐engineered NC‐TENG arrays integrate tactile pressure mapping, non‐contact gesture sensing, and acoustic signal readouts in one ultrathin module, and outperforms pristine PDMS in terms of electrical output and real‐time spatial mapping for next‐gen wearables.
Injamamul Arief, Swagato Sarkar, Anik Kumar Ghosh, Osvalds Verners, Kamal Kumar Meena, Su‐Hyeong Lee, Soosang Chae, Tobias A. F. König, Beate Krause, Andreas Fery, Mehmet Sait Özer, Anindya Nag, Amit Das   +12 more
wiley   +1 more source

New acoustic monitoring system quantifying aspiration risk during monitored anaesthesia care

Scientific Reports, 2023
Respiratory monitoring is crucial during monitored anaesthesia care (MAC) to ensure patient safety. Patients undergoing procedures like gastrointestinal endoscopy and dental interventions under MAC have a heightened risk of aspiration. Despite the risks,
Yoshitaka Shimizu, Shinichiro Ohshimo, Noboru Saeki, Kana Oue, Utaka Sasaki, Serika Imamura, Hisanobu Kamio, Eiji Imado, Takuma Sadamori, Yasuo M. Tsutsumi, Nobuaki Shime   +10 more
doaj   +1 more source