Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Abnormal breath sound"'
Autor:
Ziqiao Fu, Ye Wang, Diandian Li, Yanbin Liu, Mei Feng, Siyun Fu, Wanhong Yin, Tao Liu, Fengming Luo, Gang Wang, Nian Xiong, Yanlin Zhang, Weimin Li, Zongan Liang, Bo Wang, Dan Liu
Publikováno v:
Respiration. 99:755-763
Background: Effective auscultations are often hard to implement in isolation wards. To date, little is known about the characteristics of pulmonary auscultation in novel coronavirus (COVID-19) pneumonia. Objectives: The aim of this study was to explo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4822b1507469febf8322c173c567be6a
https://doi.org/10.1159/000509610
https://doi.org/10.1159/000509610
Autor:
Barbara Kuźniar-Kamińska, Jędrzej Kociński, Krzysztof Szarzynski, Tomasz Grzywalski, Adam Maciaszek, Honorata Hafke-Dys
Publikováno v:
Monitoring airway disease.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87959be907cab965ae69f9f206b58cae
https://doi.org/10.1183/13993003.congress-2021.oa1291
https://doi.org/10.1183/13993003.congress-2021.oa1291
Publikováno v:
m-Health/e-health.
Background: Manual auscultation to detect abnormal breath sounds has poor inter-observer reliability. Digital stethoscopes (DS) with artificial intelligence (AI) could improve reliable detection of these sounds. Objective: We aimed to independently t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11aa2bde8c70cfca779f6f80e82980ee
https://doi.org/10.1183/13993003.congress-2020.4798
https://doi.org/10.1183/13993003.congress-2020.4798
Publikováno v:
Respiratory Research
Respiratory Research, Vol 21, Iss 1, Pp 1-6 (2020)
Respiratory research, 21:153
Respiratory Research, Vol 21, Iss 1, Pp 1-6 (2020)
Respiratory research, 21:153
Background Manual auscultation to detect abnormal breath sounds has poor inter-observer reliability. Digital stethoscopes with artificial intelligence (AI) could improve reliable detection of these sounds. We aimed to independently test the abilities
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05cef61743410470c6b8a75754c8ccfd
http://europepmc.org/articles/PMC7526232
http://europepmc.org/articles/PMC7526232
The acquisition of Breath sounds (BS) signals from a human respiratory system with an electronic stethoscope, provide and offer prominent information which helps the doctors to diagnosis and classification of pulmonary diseases. Unfortunately, this B
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4988d33929e353d967d228dcda9d2a9
https://zenodo.org/record/4107615
https://zenodo.org/record/4107615
Autor:
Ying hui Huang, Wen Sheng Pan, Shui sheng Wu, Li zhong Xie, Si jun Meng, Jian quan He, Wan yu Wang, Chao Zheng, Wang yue Wang, Qi feng Wei, Yunhong Lei, Jian ping Jiang, Chun xia Zhou, Zheng hua Jian, Yi Qun Hu, Jian feng Cai, Yi Zhang, Liming Cao, Xiao ying Ji, Chang hua Zhang, Yu Zhang, Ya wei Zhang, Yong chao Hu, Wen Zhang, Wei ping Hu, Hang Xiao, Yu long He, Jian Chen, Yi xiang Ye, Xiao fang Zheng, Nian gui Zhao, Wen Xu, Wen juan Qin
BackgroundThe 2019 novel coronavirus (COVID-19) has continuous outbreaks around the world. Lung is the main organ that be involved. There is a lack of clinical data on the respiratory sounds of COVID-19 infected pneumonia, which includes invaluable i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4a23d008d1c589c30cd29950387b38a
Autor:
Ye Wang, Ziqiao Fu, Fengming Luo, Wanhong Yin, Mei Feng, Zongan Liang, Yanbin Liu, Siyun Fu, Bo Wang, Tao Liu, Nian Xiong, Yanlin Zhang, Diandian Li, Dan Liu, Weimin Li
Publikováno v:
SSRN Electronic Journal.
Background: Effective auscultation are often hard to implement in isolation wards. To date, little is known about the characteristics of pulmonary auscultation in novel coronavirus (COVID-19) pneumonia. The aim of this study was to explore the clinic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1178ba70725cd95c363a86da7e21f413
https://doi.org/10.2139/ssrn.3543593
https://doi.org/10.2139/ssrn.3543593
Autor:
Yusuf A Amrulloh, Lalu M H Maulidin
Publikováno v:
2018 International Symposium on Electronics and Smart Devices (ISESD).
Auscultation is an important procedure in physical examination. In respiratory diseases such as pneumonia, physician observe the abnormal breath sounds to support the diagnosis. Currently in Indonesia, majority of auscultation uses analog stethoscope
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24f9a49296d8becda87f95d0777b2291
https://doi.org/10.1109/isesd.2018.8605486
https://doi.org/10.1109/isesd.2018.8605486
Publikováno v:
Technology and Health Care. 23:S489-S494
BACKGROUND Crackles are very common abnormal breath sounds in the lung and can be used to diagnose pulmonary diseases. OBJECTIVE In this study, a method is proposed for the detection of adventitious transient sounds from normal breath sounds. METHODS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a359fc5708e33d8955881f2f135d7113
https://doi.org/10.3233/thc-150986
https://doi.org/10.3233/thc-150986
Autor:
Katsuhito Iikura
Publikováno v:
Monitoring Airway Disease.
Background: Breath sound analysis is one of the methods for examining the characteristics of recorded respiratory sounds. This approach may allow physicians to evaluate an abnormal breath sound precisely. To determine the usefulness of this approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43739a15b01b81f3a47b80340015c9de
https://doi.org/10.1183/1393003.congress-2017.pa1127
https://doi.org/10.1183/1393003.congress-2017.pa1127