Medical Projects

NCSE detector summary display
NCSE hybrid detection method, combining two ANNs and rule-based algorithms

We developed EEG monitoring techniques designed to detect non-convulsive status epilpeticus (NCSE) in non-responsive patients in the lCU and emergency room. This patient population typically does not receive brain monitoring, even though they are at risk for NCSE.

epiPAPA seizure detections, displayed in Grass Technologies' TWin software

epiPAPA is a neural network based seizure detection algorithm that runs in real-time, or offline with a variety of digital EEG file formats including EDF.

Cortical stimulator, productized as the Grass Technologies S12-X

The cortical stimulator is a constant current, bi-phasic brain stimulator intended for cortical stimulation mapping to aid in cortical resection procedures.

Decision making module output for early seizure detection

In this Phase II SBIR, we developed methods for automatic detection of epileptic seizures before and immediately after clinical onset using only features derived from scalp EEG. The detection method is patient-specific, using recurrent neural networks and a variety of input features.

Brain Navigator combines EEG and MR/CT images in a single integrated display

Brain Navigator is a PC-based system capable of combining EEG and MR/CT images to provide high-resolution anatomical localization of functional and neurophysiological data.