Name
Abstract | ||
|---|---|---|
In light of the current COVID-19 pandemic response, researchers around the world have been evaluating ways to support all aspects of disease identification, monitoring and tracking. The idea of using audio-based processing methods to evaluate cough events, one of the most common symptoms of COVID-19, in terms of their frequency, severity and characterization has become a promising possible solutio... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/MeMeA52024.2021.9478728 | 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA) |
Keywords | DocType | ISBN |
COVID-19,Analytical models,Adaptation models,Transfer functions,Mouth,Tools,Data models | Conference | 978-1-6654-1914-7 |
Citations | PageRank | References |
2 | 0.43 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Madison Cohen-McFarlane | 1 | 4 | 2.21 |
| Pengcheng Xi | 2 | 2 | 0.43 |
| Bruce Wallace | 3 | 2 | 0.43 |
| Julio J. Valdés | 4 | 2 | 0.43 |
| Rafik Goubran | 5 | 2 | 0.43 |
| Frank Knoefel | 6 | 2 | 0.76 |