There is a wide area of application that uses cerebral activity to restore capabilities for
people with severe motor disabilities, and actually the number of such systems keeps …

Speech imagery has been successfully employed in developing Brain–Computer Interfaces
because it is a novel mental strategy that generates brain activity more intuitively than …

Brain–computer interfaces (BCIs) systems traditionally use machine learning (ML)
algorithms that require extensive signal processing and feature extraction. Deep learning …

Human computer interaction (HCI) for completely locked-in patients is a very difficult task.
Nowadays, information technology (IT) is becoming an essential part of human life. Patients …

P300 wave and Steady-State Evoked Potentials are viable alternatives in the development
of Brain-Computer Interfaces based on electroencephalography since the selection of …

This paper presents a first-of-a-kind BCI framework overcoming technological and
environmental factors that limit the adaptability of EEG-based BCIs to everyday life contexts …

Speech Imagery (SI) is a successful alternative for communication systems based on
Electroencephalographic (EEG) signals that do not need external stimuli like evoked …

Brain-Computer Interfaces (BCIs) are innovative systems that enable direct communication
between the brain and external devices. These interfaces have emerged as a transformative …

This paper presents a pioneering feasibility study focusing on the development of an
innovative device designed for the smart acquisition of electro-encephalographic (EEG) …

It is important to verify the correct use electrical outlets in hospitals, since medical equipment
must be available to staff and patients. Different institutions in Chihuahua city mention that …