Epileptic seizure detection and prediction from electroencephalogram using neuro-fuzzy algorithms
AF Rabbi - 2013 - commons.und.edu
This dissertation presents innovative approaches based on fuzzy logic in epileptic seizure
detection and prediction from Electroencephalogram (EEG). The fuzzy rule-based …
detection and prediction from Electroencephalogram (EEG). The fuzzy rule-based …
[PDF][PDF] Razvrstavanje elektroencefalografskih signala temeljeno na izlučivanju značajki
L Suć - 2013 - zemris.fer.hr
Elektroencefalografija je neurofiziološka mjerna tehnika kojom se pomoću elektroda na
glavi registrira moždana električna aktivnost i rezultira zapisom koji se naziva …
glavi registrira moždana električna aktivnost i rezultira zapisom koji se naziva …
Determine risk factors of gap time between Interictal Epileptiform Discharge (IED) in patients with epilepsy
S Hosseinzadeh, S Faghihzadeh… - Iranian Journal of War …, 2013 - ijwph.ir
Background: Epilepsy is one of the most common brain diseases that characterized by
recurrent and chronic seizures. Electroencephalography (EEG) is most useful diagnostic …
recurrent and chronic seizures. Electroencephalography (EEG) is most useful diagnostic …
[PDF][PDF] Dynamic Topological Description of Brainstorm During Epileptic Seizure
T KEN - 2013 - eprints.utm.my
Electroencephalograph is one of the useful and favoured instruments in diagnosing various
brain disorders especially in epilepsy due to its non-invasive characteristic and ability in …
brain disorders especially in epilepsy due to its non-invasive characteristic and ability in …
Intrinsic mode function synchronization measures for the anticipation of seizures in epilpsy
DW Moller - 2013 - digitalcommons.latech.edu
Epileptic seizures affect as many as 50 million people and often occur without warning or
apparent provocation. We explore the applicability of noise-assisted Ensemble Empirical …
apparent provocation. We explore the applicability of noise-assisted Ensemble Empirical …