Seizure forecasting using minimally -invasive, ultra long-term subcutaneous EEG: Generalizable cross-patient models.
Sign Up to like & getrecommendations! Published in 2022 at "Epilepsia"
DOI: 10.1111/epi.17265
Abstract: This study describes a generalized cross-patient seizure forecasting approach using recurrent neural networks with ultra long-term subcutaneous EEG (sqEEG) recordings. Data from six patients diagnosed with refractory epilepsy and monitored with a sqEEG device was… read more here.
Keywords: long term; ultra long; cross patient; cross ... See more keywords
Both Cross-Patient and Patient-Specific Seizure Detection Based on Self-Organizing Fuzzy Logic.
Sign Up to like & getrecommendations! Published in 2022 at "International journal of neural systems"
DOI: 10.1142/s0129065722500174
Abstract: Automatic epilepsy detection is of great significance for the diagnosis and treatment of patients. Most detection methods are based on patient-specific models and have achieved good results. However, in practice, new patients do not have… read more here.
Keywords: patient; patient specific; patient patient; cross patient ... See more keywords