Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Chest sound"'
Autor:
Davood Fattahi, Reza Sameni, Ethan Grooby, Kenneth Tan, Lindsay Zhou, Arrabella King, Ashwin Ramanathan, Atul Malhotra, Faezeh Marzbanrad
Publikováno v:
IEEE Access, Vol 10, Pp 50715-50727 (2022)
Chest sound— as the first and most commonly available vital signal for newborns— contains affluent information about their cardiac and respiratory health. However, neonatal lung sound auscultation is currently challenging and often unreliable due
Externí odkaz:
https://doaj.org/article/85d3b7a160c04588a9b432e97e315b90
Autor:
Antonio CLIM, Razvan Daniel ZOTA
Publikováno v:
Informatică economică, Vol 23, Iss 1, Pp 50-60 (2019)
Kullback-Leibler Divergence Class or relative entropy is a special case of broader divergence. It represents a calculation of how one probability distribution diverges from another one, expected probability distribution. Kullback-Leibler divergence h
Externí odkaz:
https://doaj.org/article/8373cbdded614552b6cc6eb5e93de31c
Autor:
Magd A. Kotb, Mohammed A. A. Refaey, Hesham N. Elmahdy, Khaled Waleed Younis Rjoob, Christine William Shaker Basanti, Iman H. Draz, Fatma El Zahraa Mostafa, Hadeel M. Seif El Dein
Publikováno v:
Medical Devices: Evidence and Research. 13:13-22
Introduction Contemporary stethoscope has limitations in diagnosis of chest conditions, necessitating further imaging modalities. Methods We created 2 diagnostic computer aided non-invasive machine-learning models to recognize chest sounds. Model A w
Autor:
Razvan Daniel Zota, Antonio Clim
Publikováno v:
Informatică economică, Vol 23, Iss 1, Pp 50-60 (2019)
Kullback-Leibler Divergence Class or relative entropy is a special case of broader divergence. It represents a calculation of how one probability distribution diverges from another one, expected probability distribution. Kullback-Leibler divergence h
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Hamed Shamsi, I. Yucel Ozbek
Publikováno v:
EMBC
Most of heart sound cancellation algorithms to improve the quality of lung sound use information about heart sound locations. Therefore, a reliable estimation of heart sound localizations within chest sound is a key issue to enhance the performance o
Publikováno v:
2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
The problem of non-invasive detection of respiratory phases and onsets without making direct airflow measurement is addressed here. Currently available techniques require the use of multichannel recorded sounds of both chest and trachea. In this pape
Autor:
Rafik Goubran, A.M. McKee
Publikováno v:
IEEE Sensors, 2005..
This paper proposes a method of evaluating and improving the ability of a multisensor array to pick up specific sounds from the chest. The focus index (FI) is a performance metric created to evaluate the focus achieved by a near-field beamformer and
Conference
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Richard C. Cabot
Publikováno v:
Journal of the American Medical Association. 81:298
For many years I have tried to find some device whereby both instructor and student might hear exactly the same chest sound at the same time. I have used stethoscopes with a large bell and several pairs of ear-pieces, but with these the sounds are mu