Automated tonic-clonic seizure detection using random forests and spectral analysis on electroencephalography data.
Presentation / Conference Contribution
STEWART, C., FUNG, W.K., FOUGH, N. and PRABHU, R. 2022. Automated tonic-clonic seizure detection using random forests and spectral analysis on electroencephalography data. In Valle, M., Lehmhus, D., Gianoglio, C. et al. (eds.) Advances in system-integrated intelligence: proceedings of the 6th International conference on system-integrated intelligence 2022 (SysInt 2022), 7-9 September 2022, Genova, Italy. Lecture notes in networks and systems (LNNS), 546. Cham: Springer [online], pages 679-688. Available from: https://doi.org/10.1007/978-3-031-16281-7_64
Artificial intelligence (AI) has a potential for impact in the diagnosis of neurological conditions, the academic consensus generally has a positive outlook regarding how AI can improve the care of stroke victims and those who suffer from neuro-degen... Read More about Automated tonic-clonic seizure detection using random forests and spectral analysis on electroencephalography data..