diagnosis of disorders of oxygenation and thoracopulmonary restriction during mechanical ventilation of lungs from the point of view of normal and pathological physiology

Clicks: 228
ID: 231853
2015
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #6 of 26 articles by views in iccea 2004 - 2004 3rd international conference on computational electromagnetics and its applications, proceedings

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
The goal of the study was to develop methods for diagnosing oxygenation disorders and thoracopulmonary restriction during respiratory support and to evaluate their efficacy. 206 patients receiving prolonged respiratory support were included in the study. The developed method of diagnosing oxygenation disorders during respiratory support is 1.4 times faster than the Murrays lung ingury score. Sensitivity and specificity oftheauthorsmethod fordiagnosing thoracopulmonaryrestrictionamounted to0.897and 0.838 respectively as compared to 0.47 and 0.189 achieved by using the Murrays lung injury score. A new modification of the acute lung injury score including a respiratory function calculator was also developed.
Reference Key
2015patologidiagnosis Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;М. Г. Чеченин;В. В. Ломиворотов;А. Н. Полукаров;Т. И. Борщикова
Journal iccea 2004 - 2004 3rd international conference on computational electromagnetics and its applications, proceedings
Year 2015
DOI
10.21688/1681-3472-2013-3-34-38
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.