Electroencephalography (EEG) data is a physical measure for brain activity, i.e. the electrical pulses originating from neurons firing as the brain processes information. This information is encoded in EEG signals in the form of characteristic patterns which for example correlate with specific epileptic seizure types. We develop advanced deep learning models which can automatically and in near real-time detect, predict and classify EEG patterns that correlate with epileptic seizures.
Video data -together with EEG tracking - is the gold standard method for monitoring patients in epilepsy monitoring units in clinical settings and increasingly also in non-clinical home environments. We develop novel software suites for de-identifying patient video data and we build new privacy preserving deep learning algorithms to automatically detect and describe epileptic seizure activity in video streams.
Wearable sensors can measure a variety of bodily functions from heart rate to body movements. This sensor data can enhance and augment EEG and Video data allowing a more diversified characterization of epileptic seizure episodes. We build novel deep learning models to analyse wearable sensor data and integrate them with EEG and video data systems for automatic near real-time, point-of-sensing detection, prediction and classification of epileptic seizures.
Electronic Medical Health Records (EHR) hold patient information on for example administered medication, comorbidities and other details of disease expression and progression. We develop novel machine learning and deep learning models to analyze EHR data in an effort to build prognostic models towards faster and more accurate diagnosis as well as individualized and efficient treatment of epilepsy.
Seizures occur in the brain, EEG signals originate from the brain, and neurological conditions affect the brain. Understanding neural mechanisms that generate those brain activities is fundamental to find new treatments. We simulate the brain in a principled way to provide insight about which neuronal mechanisms underly complex cognitive processes, both in healthy and neurological conditions such as epilepsy.