Suscripción a Biblioteca: Guest
International Journal of Fluid Mechanics Research

Publicado 6 números por año

ISSN Imprimir: 2152-5102

ISSN En Línea: 2152-5110

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.1 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.3 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.0002 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.33 SJR: 0.256 SNIP: 0.49 CiteScore™:: 2.4 H-Index: 23

Indexed in

Changes of Acoustical Characteristics of Breath Sounds of Pneumonic Patients while Recovering

Volumen 28, Edición 6, 2001, 15 pages
DOI: 10.1615/InterJFluidMechRes.v28.i6.30
Get accessGet access

SINOPSIS

Changes of acoustical characteristics of breath sounds of pneumonic patients while recovering are investigated with an adaptive and a spectral-time techniques. A high performance of both mentioned techniques is shown when obtaining the information about course of a disease and localization of its focus. It is found that the adaptive technique allows to estimate the general state of a patient's respiratory tract, and the spectral-time technique gives the possibility to estimate the dynamics of fine details reflected by specific features of the respiratory sounds.

CITADO POR
  1. Grinchenko Victor, Artemiev Alexander, Makarenkov Anatolii, Makarenkova Anastasiia, Oliynik Valery, Nabiev Rustam, Gurenko Oleg, Gnateiko Vladymyr, Glazova Anna, Mobile end-user solution for system of monitoring of respiratory and cardiac sounds, 2014 IEEE 34th International Scientific Conference on Electronics and Nanotechnology (ELNANO), 2014. Crossref

Portal Digitalde Biblioteca Digital eLibros Revistas Referencias y Libros de Ponencias Colecciones Precios y Políticas de Suscripcione Begell House Contáctenos Language English 中文 Русский Português German French Spain