Name
Title | ||
|---|---|---|
Automatic Detection of Tonic-Clonic and Myoclonic Epileptic Seizures Using Prefrontal Electroencephalography (EEG) |
Abstract | ||
|---|---|---|
Epilepsy is a neurological disease that affects about 50 million people worldwide. It is a disorder of the central nervous system, characterized by recurrent seizures that can have a massive impact in the physical and mental health of the people who suffer from it, as well as their loved ones. Long-term monitoring of epilepsy in uncontrolled environments is key to provide accurate characterization... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/CBMS52027.2021.00011 | 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS) |
Keywords | DocType | ISBN |
Support vector machines,Sensitivity,Wearable computers,Epilepsy,Tools,Electroencephalography,Task analysis | Conference | 978-1-6654-4121-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ana Sofia Carmo | 1 | 0 | 0.34 |
| Mariana Abreu | 2 | 0 | 0.34 |
| Hugo Silva | 3 | 227 | 30.18 |
| Ana Luísa Nobre Fred | 4 | 0 | 0.34 |