“In this day and age, brain-health professionals, including neurologists and EEG technicians, are in scarce supply,” said ...

During the quiet hours of sleep, your brain is hard at work. It sends out tiny electrical signals that ripple across networks ...

Previously, the traditional machine learning (ML)-based classifier are used to identify the seizure by extracting features from the EEG signals manually ... the capability of real-time epileptic ...

Early detection of epileptic seizures can play a critical role in providing timely treatment to patients especially when a patient is in a remote area. This paper uses deep learning framework to ...

Achievement of this designation further establishes Ceribell as a trusted partner to health systems and validates its commitment to securing patient data while ... of our rapid EEG system, to ...

CNN is particularly effective for EEG data, which is inherently complex ... in the context of epileptic seizure detection using EEG signals, CNN and CNN-LSTM are more optimal choices in terms of ...

The Vivint Smart Home security system is a full-blown home security system that gives you 24/7 monitoring and full control over door locks, cameras, thermostats, and lights. You can even monitor ...

NEW DELHI: In a resolute address to the nation on Monday, Prime Minister Narendra Modi defended the Centre’s recent punitive action to suspend the long-standing Indus Waters Treaty with Pakistan ...

ADHD detection from EEG signals using GCN based on multi-domain features. Front. Neurosci. 19:1621212. doi: 10.3389/fnins.2025.1621212 ...

The key components of data flow are: A common way to visualize data flow is through data flow diagrams (DFDs). DFDs illustrate the movement of data between different components, making it easier to ...