The decoding of conscious experience, based on non-invasive measurements, has become
feasible by tailoring machine learning techniques to analyse neuroimaging data. Recently …

The field of EEG-Neurofeedback (EEG-NF) training has showcased significant promise in
treating various mental disorders, while also emerging as a cognitive enhancer across …

Low-and middle-income countries (LMICs) continue to face major challenges in providing
high-quality and universally accessible health care. Researchers, policy makers, donors …

In one embodiment, one or more computer-readable non-transitory storage media embody
software that is operable when executed to determine, based on cardiac-activity data, a shift …

Electroencephalogram (EEG) and its sub‐bands represent electrical pattern of human brain.
EEG signal contains transient components, spikes, and different types of artifacts due to eye …

En años recientes la sonificación de electroencefalogramas (EEG) ha sido utilizada como
una alternativa para analizar señales cerebrales al convertir el EEG en audio. En este …

Neurodegenerative diseases are a group of disorders that affect the brain. These diseases
are related with changes in the brain that lead to loss of brain structure or loss of neurons …

In recent years sonification of electroencephalograms (EEG) has been used as an
alternative to analyze brain signals after converting EEG to audio. In this paper we applied …

Recent years have seen a growing interest in the development of affective interfaces. At the
heart of these systems is an ability to capture social signals and analyse them in a way that …

Resumen GONZALEZ CASTANEDA, EF; TORRES-GARCIA, AA; REYES-GARCIA, CA y
VILLASENOR-PINEDA, L.. Applying Brain Signals Sonification for Automatic Classification …