The recent pandemic ushered in a marked surge in the adoption of digital health
technologies (DHTs), necessitating remote approaches aiming to safeguard both patient …

Active collaboration between speech-language therapists (SLTs) and persons with aphasia
(PWA) is essential for personalizing aphasia treatment and optimizing clinical outcomes …

Objective. Covariance matrices of noisy multichannel electroencephalogram (EEG) time
series data provide essential information for the decoding of brain signals using machine …

Objective. Neurofeedback (NFB) training through brain–computer interfacing has
demonstrated efficacy in treating neurological deficits and diseases, and enhancing …

Many brain-computer interfaces make use of brain signals that are elicited in response to a
visual, auditory or tactile stimulus, so-called event-related potentials (ERPs). In visual ERP …

Covert speech (CS) refers to speaking internally to oneself without producing any sound or
movement. CS is involved in multiple cognitive functions and disorders. Reconstructing CS …

Brain-computer interfaces (BCIs) aim at the non-invasive investigation of brain activity for
supporting communication and interaction of the users with their environment by means of …

Neurotechnologies combine engineering methods and neuroscientific knowledge to design
devices that interface the brain with the outside world. Since the early 2000s, inspiring and …

BACKGROUND: Aphasia is an impairment of language as a result of brain damage which
can affect individuals after a stroke. Recent research in aphasia has highlighted new …

Introduction This study aimed to evaluate the efficacy of visual P300 brain-computer
interface use to support rehabilitation of chronic language production deficits commonly …