Identifying seizure risk factors: A comparison of sleep, weather, and temporal features using a Bayesian forecast
Sign Up to like & getrecommendations! Published in 2020 at "Epilepsia"
DOI: 10.1111/epi.16785
Abstract: Most seizure forecasting algorithms have relied on features specific to electroencephalographic recordings. Environmental and physiological factors, such as weather and sleep, have long been suspected to affect brain activity and seizure occurrence but have not… read more here.
Keywords: identifying seizure; seizure risk; weather temporal; sleep weather ... See more keywords
Statistical Features in High-Frequency Bands of Interictal iEEG Work Efficiently in Identifying the Seizure Onset Zone in Patients with Focal Epilepsy
Sign Up to like & getrecommendations! Published in 2020 at "Entropy"
DOI: 10.3390/e22121415
Abstract: The design of a computer-aided system for identifying the seizure onset zone (SOZ) from interictal and ictal electroencephalograms (EEGs) is desired by epileptologists. This study aims to introduce the statistical features of high-frequency components (HFCs)… read more here.
Keywords: identifying seizure; onset zone; seizure onset; statistical features ... See more keywords