In this chapter, we discuss how intracranial or scalp electroencephalographic and magnetoencephalographic recordings could be used for epileptic seizure prediction and onset zone localization. The signal processing methods and the challenges of the state-of-the-art are discussed.Peer ReviewedPostprint (published version
© 2020 Rui LiOver twenty million people in the world have drug refractory epilepsy. Their seizures c...
International audienceElectroencephalography (EEG) occupies an important place for studying human br...
Many studies have focused on the nonlinear analysis of electroencephalography (EEG) mainly for the c...
Treball de fi de grau en BiomèdicaTutor: Ralph Gregor AndrzejakMost of the epilepsy cases are contro...
International audienceIn patients diagnosed with pharmaco-resistant epilepsy, cerebral areas respons...
Epilepsy is a neurological disorder characterized by recurrent seizures due to spontaneous changes o...
For as many as 30% of epilepsy patients, seizures are poorly controlled with medication alone. For s...
This paper presents a patient-specific epileptic seizure predication method relying on the common sp...
The neurological disorder epilepsy causes substantial problems to the patients with uncontrolled sei...
The cause of seizures in epileptic patients is still poorly understood. Ongoing debat...
AbstractNearly one-third of patients with epilepsy continue to have seizures despite optimal medicat...
A seizure prediction method is proposed by extracting global features using phase correlation betwee...
Most of the methods for prediction of epilepsy recently reported in the literature are based on the ...
Seizure onset prediction in epilepsy is a challenge which is under investigation using many and vari...
AbstractOur aim was to evaluate the ability to localize the epileptogenic zone in temporal lobe epil...
© 2020 Rui LiOver twenty million people in the world have drug refractory epilepsy. Their seizures c...
International audienceElectroencephalography (EEG) occupies an important place for studying human br...
Many studies have focused on the nonlinear analysis of electroencephalography (EEG) mainly for the c...
Treball de fi de grau en BiomèdicaTutor: Ralph Gregor AndrzejakMost of the epilepsy cases are contro...
International audienceIn patients diagnosed with pharmaco-resistant epilepsy, cerebral areas respons...
Epilepsy is a neurological disorder characterized by recurrent seizures due to spontaneous changes o...
For as many as 30% of epilepsy patients, seizures are poorly controlled with medication alone. For s...
This paper presents a patient-specific epileptic seizure predication method relying on the common sp...
The neurological disorder epilepsy causes substantial problems to the patients with uncontrolled sei...
The cause of seizures in epileptic patients is still poorly understood. Ongoing debat...
AbstractNearly one-third of patients with epilepsy continue to have seizures despite optimal medicat...
A seizure prediction method is proposed by extracting global features using phase correlation betwee...
Most of the methods for prediction of epilepsy recently reported in the literature are based on the ...
Seizure onset prediction in epilepsy is a challenge which is under investigation using many and vari...
AbstractOur aim was to evaluate the ability to localize the epileptogenic zone in temporal lobe epil...
© 2020 Rui LiOver twenty million people in the world have drug refractory epilepsy. Their seizures c...
International audienceElectroencephalography (EEG) occupies an important place for studying human br...
Many studies have focused on the nonlinear analysis of electroencephalography (EEG) mainly for the c...