The Israeli startup NeuroHelp, founded by Dr. Shriki and Nadav Karni in 2020, has developed a revolutionary neurotechnology aimed at significantly improving the health and quality of life for individuals with neurological disorders, particularly epilepsy. NeuroHelp has created an AI-based software that can aid in detecting seizures through electroencephalography (EEG) tests.
By utilizing new EEG signal analysis techniques and machine learning algorithms, the technologies developed by the research teams are able to reliably detect seizures as they occur and predict upcoming seizures approximately one hour in advance.
Epilepsy is a chronic condition characterized by bursts of increased and synchronous electrical activity in the brain's neural networks, affecting 1% of the global population. For about 30% of patients, current medications are ineffective, and their seizures cannot be predicted.
New data analysis solutions and machine learning techniques that use non-invasive brain monitoring to forecast upcoming seizures in a short time frame have been developed. The company's goal is to make epilepsy a condition that does not limit patients' ability to enjoy their daily activities and no longer endangers their lives.
Every few seconds, the NeuroHelp application receives a score from the ongoing EEG test, indicating to the AI when the patient is approaching the transition point. This informs whether a seizure might be imminent.
Once a seizure is predicted, Dr. Shriki advises avoiding any "risky" activities and taking medication intended to stop seizures.
In clinical settings, automatic seizure detection and prediction algorithms can reduce clinicians' workload, generate relevant alerts, and improve patient care, allowing for better treatment with fewer resources. In home use, seizure prediction devices can enhance the quality of life for epileptic patients by reducing the anxiety associated with the unpredictable nature of seizures.
Caroline Haïat
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