However, existing IMS–EEG-based BCI systems have introduced difficulties in feasible deployment due to nonstationary EEG signals, suboptimal feature extraction ... IMS–EEG patterns across multichannel ...

Abstract: Motor imagery-based brain-computer interfaces (MI-BCIs) hold significant promise for rehabilitation training in individuals with neurological impairments such as stroke and spinal cord ...

Additionally, this research utilizes a data-driven approach with MCCA, allowing for the extraction of reliable EEG features that signal physiological responses to exercise. This method holds promise ...

This includes Matlab and Python code to extract features from RSVP and P300 speller EEG, and evaluate letter detection accuracy in P300 speller with the open EEG ...

In hospital intensive care units, neurologists often use a simple scorecard to quickly evaluate a critically ill patient's ...

Mind wandering boosts probabilistic learning despite hurting visuomotor task performance. Spontaneous mind wandering enhances ...

Inspired by how DNA can pack massive quantities of information into tiny amounts of material, chemists have been working for ...

As we all know, wearing a helmet is mandatory in most countries, including India while driving a vehicle, not just because of ...

Technological innovations, particularly in the data and machine learning space, are pivotal in addressing the increasing ...

Let’s explore the key strategic calls that enabled Ferrari to pull this off, as revealed by telemetry data. Following a dreadful qualifying, it was clear that Ferrari’s one-lap pace was still ...