CeriBell's AI-powered EEG system offers rapid seizure diagnosis. The stock is undervalued by at least 50% over the long-term, ...

The first patenting from Theta Neurotech Inc. sees the company’s co-founders describe their development of a wearable earpiece that uses an electroencephalography technology and machine learning ...

World Health Organization (WHO) provides medicines, supplies, and equipment for maternal, newborn, and mental healthcare in Liberia ...

It provides a comprehensive overview of the entire EEG analysis pipeline, from acquisition to statistical and machine learning techniques for PTSD diagnosis. Methods: Using the PRISMA-ScR protocol, ...

Sleep EEG, ictal EEG, neurofeedback studies, resting connectivity EEG, event-related EEG, and machine learning studies were excluded for focus and brevity (i.e., incorrect outcome). For the purpose of ...

and a support vector machine (SVM) (Luo et al., 2018a,b). The ERS/ERD phenomenon from EEG signals is common on three motor-related datasets, and such phenomena are usually used for the motor-based BCI ...

UC Riverside researchers have demonstrated a new, unsupervised machine learning approach to find new patterns in the auxiliary channel data of the Laser Interferometer Gravitational-Wave Observatory.

In an information memorandum for potential bidders, the Victorian startup outlines its plans to relaunch into the US market with its next generation at-home video EEG monitoring device for epilepsy ...

EEG was essential in assessing the drug’s ketamine-like antidepressant effects on the brain. Key findings include: Dose-Dependent EEG Changes: Administration of MIJ821 showed clear trends ...