Electrocardiography has added value to automatically detect seizures in temporal lobe epilepsy
(TLE) patients. The wired hospital system is not suited for a long-term seizure detection …

Objective. In the past few years there has been a growing interest in studying brain functioning
in natural, real-life situations. Mobile EEG allows to study the brain in real unconstrained …

A wearable electroencephalogram (EEG) device for continuous monitoring of patients
suffering from epilepsy would provide valuable information for the management of the disease. …

Objective Seizure diaries kept by patients are unreliable. Automated electroencephalography
(EEG)‐based seizure detection systems are a useful support tool to objectively detect and …

Objective Wearable seizure detection devices could provide more reliable seizure
documentation outside the hospital compared to seizure self‐reporting by patients, which is the …

Recordings of neural activity, such as EEG, are an inherent mixture of different ongoing brain
processes as well as artefacts and are typically characterised by low signal-to-noise ratio. …

OBJECTIVE: A novel patient-specific seizure detection algorithm is presented. As the spatial
distribution of the ictal pattern is characteristic for a patient’s seizures, this work incorporates …

Electroencephalography ( EEG ) and functional magnetic resonance imaging ( fMRI ) record
a mixture of ongoing neural processes, physiological and nonphysiological noise. The …

Automated seizure detection in a home environment has been of increased interest the last
couple of decades. The electrocardiogram is one of the signals that is suited for this …

Resting state brain activity has become a significant area of investigation in human
neuroimaging. An important approach for understanding the dynamics of neuronal activity in the …