Name
Title | ||
|---|---|---|
Automatic Early-Onset Free Flap Failure Detection for Implantable Biomedical Devices. |
Abstract | ||
|---|---|---|
Objective: Up to 10% of free flap cases are compromised, and without prompt intervention, amputation and even death can occur. Hourly monitoring improves salvage rates, but the gold standard for monitoring requires experienced personnel to operate and suffers from high false-positive rates as high as 31% that result in costly and unnecessary surgeries. In this paper, we investigate free flap paten... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TBME.2018.2793763 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Feature extraction,Blood,Monitoring,Doppler effect,Veins,Personnel,Surgery | Vascular Patency,Computer vision,Amputation,Blood flow,Simulation,Computer science,Feature extraction,Syringe driver,Artificial intelligence,Classifier (linguistics),Feature data,Free flap | Journal |
Volume | Issue | ISSN |
65 | 10 | 0018-9294 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rothfuss, M.A. | 1 | 3 | 1.13 |
| Nicholas G. Franconi | 2 | 0 | 1.01 |
| Alexander Star | 3 | 0 | 0.34 |
| Murat Akçakaya | 4 | 59 | 21.15 |
| Gimbel, M.L. | 5 | 3 | 0.79 |
| Ervin Sejdic | 6 | 146 | 25.55 |