Title | ||
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Automated quantitative analysis of capnogram shape for COPD-normal and COPD-CHF classification. |
Abstract | ||
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We develop an approach to quantitative analysis of carbon dioxide concentration in exhaled breath, recorded as a function of time by capnography. The generated waveform-or capnogram-is currently used in clinical practice to establish the presence of respiration as well as determine respiratory rate and end-tidal CO2 concentration. The capnogram shape also has diagnostic value, but is presently ass... |
Year | DOI | Venue |
---|---|---|
2014 | 10.1109/TBME.2014.2332954 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Carbon dioxide,Classification algorithms,Feature extraction,Medical diagnostic imaging,Lungs,Sensitivity and specificity | Receiver operating characteristic,Artificial intelligence,Capnography,Quantitative analysis (chemistry),Medicine,COPD,Computer vision,Heart failure,Pulmonary function testing,Internal medicine,Cardiology,Respiratory rate,Intensive care medicine,Quadratic classifier | Journal |
Volume | Issue | ISSN |
61 | 12 | 0018-9294 |
Citations | PageRank | References |
3 | 0.86 | 2 |
Authors | ||
8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rebecca J Mieloszyk | 1 | 3 | 2.22 |
G C Verghese | 2 | 111 | 83.78 |
Kenneth Deitch | 3 | 3 | 0.86 |
Brendan Cooney | 4 | 3 | 0.86 |
Abdullah Khalid | 5 | 3 | 0.86 |
Milciades A Mirre-Gonzalez | 6 | 3 | 0.86 |
Thomas Heldt | 7 | 3 | 2.22 |
Baruch S Krauss | 8 | 3 | 1.88 |