Name
Abstract | ||
|---|---|---|
Automated seizure detection methods can be used to reduce time and costs associated with analyzing large volumes of ambulatory EEG recordings. These methods however have to rely on very complex, power hungry algorithms, implemented on the system backend, in order to achieve acceptable levels of accuracy. In size, and therefore power-constrained EEG systems, an alternative approach to the problem o... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/JBHI.2014.2342501 | IEEE Journal of Biomedical and Health Informatics |
Keywords | Field | DocType |
Electroencephalography,Feature extraction,Microcontrollers,Power demand,Wireless communication,Monitoring,Algorithm design and analysis | Data collection,Algorithm design,Wireless,Data transmission,Wearable computer,Computer science,Decision support system,Real-time computing,Feature extraction,Encryption | Journal |
Volume | Issue | ISSN |
19 | 3 | 2168-2194 |
Citations | PageRank | References |
2 | 0.42 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Syed Anas Imtiaz | 1 | 9 | 1.27 |
| Lojini Logesparan | 2 | 39 | 4.96 |
| Esther O. Rodríguez-Villegas | 3 | 24 | 7.08 |