Researchers develop a novel topology-aware multiscale feature fusion network to enhance the accuracy and robustness of EEG-based motor imagery decoding Electroencephalography (EEG) is a fascinating ...

An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...

Virginia will discuss work on single-trial analysis of EEG signals during episodic memory tasks. They develop single-trial classifiers to predict whether people will remember pictures from EEG ...

Patients with brain injury who are unresponsive to commands may perform cognitive tasks that are detected on functional magnetic resonance imaging (fMRI) and electroencephalography (EEG). This ...

Firefly’s total brain scan volumes have increased sequentially by higher percentages in each of the past four quarters -- Firefly is harnessing ...

Ceribell, which just raised $207 million in its IPO, is making waves with its portable EEG headset. CEO Jane Chao hopes it becomes the new standard of acute care. Nonconvulsive seizures can kill ...

The integration of artificial intelligence (AI) and computational intelligence techniques has revolutionized biomedical signal processing by enabling more precise disease diagnostics and patient ...

The FDA has granted 510(k) clearance to Naox Link (NX01), a single-channel, in-ear electroencephalography (EEG) system designed to enable long-duration brain activity monitoring in both clinical and ...

The FDA cleared an electroencephalography (EEG) system based on a small sensor worn in the ear, allowing patients to be monitored outside of hospital settings, Naox Technologies in Paris, announced on ...

This is a potentially important study comparing infants (8 months) and adults with respect to rhythmic EEG response properties during periodic and aperiodic visual stimulation. The results provide ...