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International Journal of Fluid Mechanics Research

年間 6 号発行

ISSN 印刷: 2152-5102

ISSN オンライン: 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

Human Respiratory Sounds: Objectivization of the Auscultatory Signs

巻 28, 発行 6, 2001, 25 pages
DOI: 10.1615/InterJFluidMechRes.v28.i6.20
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要約

The twenty-year retrospective of the techniques used for objectivization of auscultatory signs of breath sounds is presented. Modern views on the nature of breath sounds are enunciated. Bibliographic data about plausible reasons causing the basic and the complementary respiratory sounds are systematized. On basis of the spectral-time technique of analysis and visualization of complex sound signals a high potential of objectivization is demonstrated for a number of auscultatory signs. An attempt to classify different types of wheezes according to specifics of their spectral components is made.

によって引用された
  1. Oliynik Valery, On potential effectiveness of integration of 3M Littmann 3200 electronic stethoscopes into the third-party diagnostic systems with auscultation signal processing, 2015 IEEE 35th International Conference on Electronics and Nanotechnology (ELNANO), 2015. Crossref

  2. Oliynik Valery, An example of the subtraction filter for cleaning of respiratory sounds from the shock-type interferences at simultaneous two-channel recording, 2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO), 2017. Crossref

  3. Oliynik Valery, Enhanced Frame-Similarity Technique for Detection of Respiratory and Cardiac Rhythms in Auscultation Records, 2020 IEEE 40th International Conference on Electronics and Nanotechnology (ELNANO), 2020. Crossref

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