an Electroencephalography-based database for studying the effects of acoustic therapies for tinnitus treatment

AR Cuevas-Romero, LM Alonso-Valerdi… - Scientific data, 2022 - nature.com
The present database provides demographic (age and sex), clinical (hearing loss and
acoustic properties of tinnitus), psychometric (based on Tinnitus Handicapped Inventory and …

Image-based learning using gradient class activation maps for enhanced physiological interpretability of motor imagery skills

DF Collazos-Huertas, AM Álvarez-Meza… - Applied Sciences, 2022 - mdpi.com
Brain activity stimulated by the motor imagery paradigm (MI) is measured by
Electroencephalography (EEG), which has several advantages to be implemented with the …

Optimizing Ambiance: Intelligent RGB Lighting Control in Structures Using Fuzzy Logic

GA Alvarez-Garcia, CL Zúñiga-Cañón… - Applied Sciences, 2024 - mdpi.com
Managing red–green–blue (RGB) lighting conditions within structures may evoke emotions
and positively influence behavior. Intelligent RGB lighting systems based on environmental …

Artificial Intelligence of Behavior for human emotion recognition in closed environments

GA Alvarez-Garcia, C Zúñiga-Cañón… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
Understanding human emotions and behavior in closed environments is essential for
creating more empathetic and humane spaces. Environmental factors, such as temperature …

No effects of prefrontal multichannel tACS at individual alpha frequency on phonological decisions

M Werchowski, T Stenner, M Splittgerber… - Clinical …, 2022 - Elsevier
Objective Alpha oscillations are linked to inhibitory capabilities in higher cognitive
processing. Transcranial alternating current stimulation (tACS) at 10 Hz can enhance alpha …

Regression networks for neurophysiological indicator evaluation in practicing motor imagery tasks

L Velasquez-Martinez, J Caicedo-Acosta… - Brain Sciences, 2020 - mdpi.com
Motor Imagery (MI) promotes motor learning in activities, like developing professional motor
skills, sports gestures, and patient rehabilitation. However, up to 30% of users may not …

Towards designing brain-computer interfaces in terms of user-profiles, neurophysiological factors and user experience

LM Alonso-Valerdi, VR Mercado-García - Revista mexicana de …, 2019 - scielo.org.mx
Brain-computer interfaces (BCIs) are technology in development that attempt to establish
interaction between individuals and their surroundings by modulating their neural activity …

Discriminating mental states by extracting relevant spatial patterns under non-stationary and subject-independent constraints

LF Velásquez Martínez - 2023 - repositorio.unal.edu.co
Evaluation of brain dynamics elicited by motor imagery (MI) tasks can contribute to clinical
and learning applications. In this work, we propose four specific improvements for brain …

Deep learning framework with enhanced interpretability for classification of motor imagery tasks

DF Collazos Huertas - repositorio.unal.edu.co
Deep learning (DL) allows models composed of multiple processing layers to learn
representations of data with several levels of abstraction. These methods have improved …

Black Hole algorithm with convolutional neural networks for the creation of a Brain-Switch using visual perception

FR Llorella, JM Azorín, G Patow - 2021 IEEE 34th International …, 2021 - ieeexplore.ieee.org
Brain-switches are systems that allow a binary communication between the brain and the
outside world without using the peripheral nervous system. These systems are of interest …