NeuroHELP

NeuroHELP Overview

NeuroHELP is developing a simple, portable EEG system that can be used by patients with epilepsy on a daily basis. The system alerts patients before a seizure occurs and sends the processed information to the caregivers. NeuroHELPs algorithmic solution involves automatic tools for signal preprocessing and artifact removal, advanced nonlinear measures of brain activity that reflect the underlying dynamics, and machine learning techniques for integrating the information and assessing the likelihood of an upcoming seizure. The algorithms have already been designed, implemented, and tested offline on a large database of EEGs from patients with epilepsy, with highly accurate results. The system can also assist in optimizing the type, dosage, and frequency of drugs given to the patient. The technology is designed to improve the quality of life for individuals with epilepsy by reducing the anxiety caused by the unforeseeable occurrence of seizures and allowing for advance preparation before a seizure ensues.

Latest News

Sep 29, 2020 · www.calcalistech.com

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Researchers at Ben-Gurion University develop a device that predicts epileptic seizures

Researchers at Ben-Gurion University of the Negev (BGU) have developed a wearable device called Epiness that uses machine learning algorithms to predict the onset of seizures. The device will be licensed for further development by NeuroHelp, a startup founded by BGN Technologies. The device monitors EEG-based brain activity to detect and predict seizures, sending a warning message to the users smartphone. NeuroHelp is developing a prototype that will be assessed in clinical trials. The algorithm has reached a 97% accuracy rate. Epilepsy affects over 65 million people worldwide, and the device aims to help meet unmet medical needs in identifying upcoming seizures.

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4

Employees: 11-50

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Beer-Sheva, Israel

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