IEEE

A Review of Machine Learning and Deep Learning Trends in EEG-Based Epileptic Seizure Prediction

Abstract: Epileptic seizures impair patients’ health and quality of life, and electroencephalography (EEG)-based prediction enables timely intervention. Early work on epileptic seizure prediction ...
IEEE

Identification of Relevant ECG Features for Epileptic Seizure Prediction Using Interpretable Machine Learning

Abstract: Epileptic seizure prediction holds the potential to enhance the quality of life for individuals with epilepsy by enabling the possibility of timely administration of medication and first aid ...
Biometric Companies

Behavioral Signals brings novel approach to audio deepfake detection

Deepfakes have advanced beyond the capability of leading software tools using vocal biomarkers to detect them. Fortunately, behavioral biometrics and analysis provide a way to understand sentiment ...
Frontiers

Application of Machine Learning Approaches to Predict Seizure-Onset Zones in Patients with Drug-Resistant Epilepsy: Systematic Review

The final, formatted version of the article will be published soon. Machine learning (ML) approaches have emerged as promising tools for improving seizure onset zone (SOZ) prediction in patients with ...
medtechdive

Ceribell wins FDA clearance for seizure-detection algorithm in neonates

The American Clinical Neurophysiology Society updated its guidelines on continuous EEG monitoring last year, providing support for the use of the technology in neonates at high risk for seizures.
MassDevice

CeriBell gets FDA nod for neonate seizure detection algorithm

The EEG system in use for a neonatal patient. [Image courtesy of CeriBell] CeriBell (Nasdaq:CBLL) announced today that it received FDA 510(k) clearance for its next-generation Clarity algorithm. The ...