Search results for "SEEG"

showing 2 items of 2 documents

Chronic neural probe for simultaneous recording of single-unit, multi-unit, and local field potential activity from multiple brain sites

2017

Drug resistant focal epilepsy can be treated by resecting the epileptic focus requiring a precise focus localisation using stereoelectroencephalography (SEEG) probes. As commercial SEEG probes offer only a limited spatial resolution, probes of higher channel count and design freedom enabling the incorporation of macro and microelectrodes would help increasing spatial resolution and thus open new perspectives for investigating mechanisms underlying focal epilepsy and its treatment. This work describes a new fabrication process for SEEG probes with materials and dimensions similar to clinical probes enabling recording single neuron activity at high spatial resolution.Polyimide is used as a bi…

focal epilepsyMaterials scienceFocus (geometry)SEEGBiomedical EngineeringPosterior parietal cortexFOS: Physical sciencesBiocompatible Materials02 engineering and technologyLocal field potentialchronic; depth neural probe; focal epilepsy; in vivo; SEEG; single unit activity; stereoelectroencephalography; Biomedical Engineering; Cellular and Molecular NeuroscienceStereoelectroencephalographystereoelectroencephalography03 medical and health sciencesCellular and Molecular Neuroscience0302 clinical medicineParietal LobeAnimalsMulti unitImage resolutionEvoked PotentialsNeuronsBrainElectroencephalography021001 nanoscience & nanotechnologyPhysics - Medical PhysicsMacaca mulattadepth neural probesingle unit activityElectrodes ImplantedchronicMicroelectrodein vivoQuantitative Biology - Neurons and CognitionFOS: Biological sciencesElectrodeFemaleNeurons and Cognition (q-bio.NC)Epilepsies PartialMedical Physics (physics.med-ph)0210 nano-technologyMicroelectrodes030217 neurology & neurosurgeryBiomedical engineering
researchProduct

One Dimensional Convolutional Neural Networks for Seizure Onset Detection Using Long-term Scalp and Intracranial EEG

2021

Epileptic seizure detection using scalp electroencephalogram (sEEG) and intracranial electroencephalogram (iEEG) has attracted widespread attention in recent two decades. The accurate and rapid detection of seizures not only reflects the efficiency of the algorithm, but also greatly reduces the burden of manual detection during long-term electroencephalogram (EEG) recording. In this work, a stacked one-dimensional convolutional neural network (1D-CNN) model combined with a random selection and data augmentation (RS-DA) strategy is proposed for seizure onset detection. Firstly, we segmented the long-term EEG signals using 2-sec sliding windows. Then, the 2-sec interictal and ictal segments w…

intracranial electroencephalogram (iEEG)convolutional neural networks (CNN).signaalinkäsittelyscalp electroencephalogram (sEEG)epilepsyseizure detectionsignaalianalyysineuroverkotEEGepilepsia
researchProduct