Results 51 to 60 of about 1,083,600 (194)

High-accuracy lung sound classification for healthy versus unhealthy diagnosis using artificial neural network

Frontiers in Bioengineering and Biotechnology
IntroductionIn recent years, advancements in machine learning and electronic stethoscope technology have enabled high-precision recording and analysis of lung sounds, significantly enhancing pulmonary disease diagnosis.MethodsThis study presents a ...
Weiwei Zhang, Xinyu Li, Qiao Liu, Xiangyang Zheng, Yisu Ge, Xiaotian Pan, Xiaotian Pan, Yu Zhou   +7 more
doaj   +1 more source

Wearing surgical face mask has no significant impact on auscultation assessment [PDF]

PeerJ
Objective During the COVID-19 pandemic, universal mask-wearing became one of the main public health interventions. Because of this, most physical examinations, including lung auscultation, were done while patients were wearing surgical face masks.
Ivana Folnožić, Marija Gomerčić Palčić, Matilda Sabljak, Ena Vučak, Luka Vrbanić, Marija Mandić Perić, Fanika Mrsić, Aljoša Šikić, Ivan Ivanovski   +8 more
doaj   +2 more sources

Dementias show differential physiological responses to salient sounds. [PDF]

, 2015
Abnormal responsiveness to salient sensory signals is often a prominent feature of dementia diseases, particularly the frontotemporal lobar degenerations, but has been little studied. Here we assessed processing of one important class of salient signals,
Nicholas, Jennifer M, Clark, Camilla N, Mummery, Catherine J, Shakespeare, Timothy J, Warren, Jason D, Sebastian eCrutch, Timothy J Shakespeare, Agustus, JL, Schott, Jonathan M, Sebastian J. Crutch, Phillip D. Fletcher, Nicholas, JM, Schott, JM, Fletcher, PD, Golden, HL, Fletcher, Phillip D, Jonathan eSchott, Catherine J. Mummery, Phillip David Fletcher, Jason eWarren, Laura eDowney, Hannah eGolden, Jennifer L. Agustus, Jennifer L Agustus, Cath eMummery, Downey, Laura E, Mummery, CJ, Golden, Hannah L, Crutch, Sebastian J, Hannah L. Golden, Camilla N. Clark, Warren, JD, Jennifer eNicholas, Laura E. Downey, Crutch, SJ, Clark, CN, Shakespeare, TJ, Agustus, Jennifer L, Camilla eClark, Jonathan M. Schott, Timothy J. Shakespeare, Jason D. Warren, Downey, LE, Jennifer M. Nicholas   +43 more
core   +1 more source

Data processing for digital libraries: the experience of the BnF with Europeana Sounds project

, 2016
International audienceAs one of the 24 partners of the project Europeana Sounds, the BnF provides to Europeana metadata related to digitized sound recordings from its cultural heritage collection.
Angjeli, Anila, Caron, Bertrand, Bermès, Emmanuelle   +2 more
core   +1 more source

Classification and Recognition of Lung Sounds Using Artificial Intelligence and Machine Learning: A Literature Review

Big Data and Cognitive Computing
This review explores the latest advances in artificial intelligence (AI) and machine learning (ML) for the identification and classification of lung sounds.
Xiaoran Xu, Ravi Sankar
doaj   +1 more source

Sounds Local, 1998 December 19

, 1998
The final Sounds Local segment after 14 years of production with commentary from Aileen ...
LeBlanc, Aileen (host)
core  

Recurrence Quantification Analysis for the Classification of Lung Sounds

, 2010
The Recurrence quantification Analysis technique is used for analyzing and classifying lung sounds recorded from different typologies of pulmonary diseases.
ROSSI M., Rossi Marcello, FACCHINI A., LENZINI A., Theodore E. Simos, Facchini Angelo, Ch. Tsitouras, Mocenni Chiara, Lenzini Alessio, Facchini, A, MOCENNI C., George Psihoyios   +11 more
core   +1 more source

Intelligent wearable devices with audio collection capabilities to assess chronic obstructive pulmonary disease severity

Digital Health
Background Intelligent wearable devices have potential for chronic obstructive pulmonary disease (COPD) monitoring, but the effectiveness of combining cough and blowing sounds for disease assessment is unclear.
Chunbo Zhang, Kunyao Yu, Zhe Jin, Yingcong Bao, Cheng Zhang, Jiping Liao, Guangfa Wang   +6 more
doaj   +1 more source

An investigation into student and qualified physiotherapists description of lung sounds

South African Journal of Physiotherapy, 1997
The ability to accurately describe lung sounds were tested on 146 subjects (qualified physiotherapists from a tertiary care hospital and third, and fourth year students from three universities).
Russell Mayne, Amanda Gossip, Chris Rodseth   +2 more
doaj   +1 more source

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