From NeuroLex
Resource:Electroencephalogram Database: Prediction of Epileptic Seizures
| Name: | Resource:Electroencephalogram Database: Prediction of Epileptic Seizures |
| Description: | The long-term goal of the project is to develop algorithms that are able to predict epileptic seizures with high sensitivity and specificity. These prediction algorithms could be utilized in a "brain defibrillator", in analogy to cardiac defibrillator. A prediction of seizures at an early stage could trigger an intervention to suppress the upcoming seizure by for instance electrical stimulation. Alternatively, a seizure warning device could be invented that enables behavioral adjustments. To this aim, electroencephalogram (EEG) data recorded from invasive and scalp electrodes are analyzed in an interdisciplinary project between:
The EEG database contains invasive EEG recordings of 21 patients suffering from medically intractable focal epilepsy. The data were recorded during an invasive pre-surgical epilepsy monitoring at the Epilepsy Center of the University Hospital of Freiburg, Germany. In eleven patients, the epileptic focus was located in neocortical brain structures, in eight patients in the hippocampus, and in two patients in both. In order to obtain a high signal-to-noise ratio, fewer artifacts, and to record directly from focal areas, intracranial grid-, strip-, and depth-electrodes were utilized. The EEG data were acquired using a Neurofile NT digital video EEG system with 128 channels, 256 Hz sampling rate, and a 16 bit analogue-to-digital converter. Notch or band pass filters have not been applied. |
| Other Name(s): | EEG Database |
| Parent Organization: | University of Frankfurt; Frankfurt am Main; Germany |
| Related to: | Resource:3DVC |
| Resource Type(s): | database |
| Keywords: | electrode, electroencephalogram (eeg), epilepsy, epileptic seizure, focal, algorithm, analysis, behavioral, brain, cardiac, computational, data, defibrillator, hippocampus, medically, modeling, neocortical, neuroscience, patient, predict, seizure, stimulation, structure, surgical, Model |
| Resource: | Resource |
| URL: | https://epilepsy.uni-freiburg.de/freiburg-seizure-prediction-project |
| Id: | nif-0000-10217 |
| Link to OWL / RDF: | Download this content as OWL/RDF |
Curation status: Uncurated
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| CurationStatus | curated + |
| DefiningCitation | https://epilepsy.uni-freiburg.de/freiburg-seizure-prediction-project + |
| Definition | The long-term goal of the project is to de … The long-term goal of the project is to develop algorithms that are able to predict epileptic seizures with high sensitivity and specificity. These prediction algorithms could be utilized in a "brain defibrillator", in analogy to cardiac defibrillator. A prediction of seizures at an early stage could trigger an intervention to suppress the upcoming seizure by for instance electrical stimulation. Alternatively, a seizure warning device could be invented that enables behavioral adjustments. To this aim, electroencephalogram (EEG) data recorded from invasive and scalp electrodes are analyzed in an interdisciplinary project between:
The EEG database contains invasive EEG recordings of 21 patients suffering from medically intractable focal epilepsy. The data were recorded during an invasive pre-surgical epilepsy monitoring at the Epilepsy Center of the University Hospital of Freiburg, Germany. In eleven patients, the epileptic focus was located in neocortical brain structures, in eight patients in the hippocampus, and in two patients in both. In order to obtain a high signal-to-noise ratio, fewer artifacts, and to record directly from focal areas, intracranial grid-, strip-, and depth-electrodes were utilized. The EEG data were acquired using a Neurofile NT digital video EEG system with 128 channels, 256 Hz sampling rate, and a 16 bit analogue-to-digital converter. Notch or band pass filters have not been applied. by University of Freiburg, Germany. |
| Has default formThis property is a special property in this wiki. | Resource + |
| Has role | Database + |
| Id | nif-0000-10217 + |
| Is part of | University of Frankfurt; Frankfurt am Main; Germany + |
| Keywords | Electrode +, Electroencephalogram (eeg) +, Epilepsy +, Epileptic seizure +, Focal +, Algorithm +, Analysis +, Behavioral +, Brain +, Cardiac +, Computational +, Data +, Defibrillator +, Hippocampus +, Medically +, Modeling +, Neocortical +, Neuroscience +, Patient +, Predict +, Seizure +, Stimulation +, Structure +, Surgical +, and Model + |
| Label | Resource:Electroencephalogram Database: Prediction of Epileptic Seizures + |
| ModifiedDate | 1 May 2013 + |
| Page has default formThis property is a special property in this wiki. | Resource + |
| RelatedTo | Resource:3DVC + |
| SuperCategory | Resource + |
| Synonym | EEG Database + |



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