Recent progress in wearable brain–computer interface (BCI) devices based on electroencephalogram (EEG) for medical applications: a review

J Zhang, J Li, Z Huang, D Huang, H Yu, Z Li - Health Data Science, 2023 - spj.science.org
Importance: Brain–computer interface (BCI) decodes and converts brain signals into
machine instructions to interoperate with the external world. However, limited by the …

Industrial intelligence in the care of workers' mental health: A review of status and challenges

C Goetz, R Bavaresco, R Kunst, J Barbosa - International Journal of …, 2022 - Elsevier
Mental health is a current concern because people worldwide have been committed to
disorders that impair lives as a whole, affecting emotional states, behaviors, and body …

A symbols based bci paradigm for intelligent home control using p300 event-related potentials

F Akram, A Alwakeel, M Alwakeel, M Hijji, U Masud - Sensors, 2022 - mdpi.com
Brain-Computer Interface (BCI) is a technique that allows the disabled to interact with a
computer directly from their brain. P300 Event-Related Potentials (ERP) of the brain have …

Single-trial recognition of video gamer's expertise from brain haemodynamic and facial emotion responses

AR Andreu-Perez, M Kiani, J Andreu-Perez, P Reddy… - Brain sciences, 2021 - mdpi.com
With an increase in consumer demand of video gaming entertainment, the game industry is
exploring novel ways of game interaction such as providing direct interfaces between the …

Subject-dependent artifact removal for enhancing motor imagery classifier performance under poor skills

M Tobón-Henao, A Álvarez-Meza… - Sensors, 2022 - mdpi.com
The Electroencephalography (EEG)-based motor imagery (MI) paradigm is one of the most
studied technologies for Brain-Computer Interface (BCI) development. Still, the low Signal-to …

A Novel Hybrid Deep Neural Network Classifier for EEG Emotional Brain Signals

MAA Mousa, AT Elgohr… - International Journal of …, 2024 - researchportal.hw.ac.uk
The field of brain computer interface (BCI) is one of the most exciting areas in the field of
scientific research, as it can overlap with all fields that need intelligent control, especially the …

Convolutional Neural Networks: Brain Computer Simulations for Potential Non-Invasive Schizophrenia and Psychiatric Treatment as Alternative to Medication

A Kim, Z Chen, WE Wong - 2023 IEEE MIT Undergraduate …, 2023 - ieeexplore.ieee.org
Deep Learning Neural Networks (DLNN), drawing inspiration from the brain's learning
capabilities, may potentially provide treatment solutions alternative to medication. Recent …

Adaptive boosting of DNN ensembles for brain-computer interface spellers

OB Güney, E Koç, C Aksoy, Y Çatak… - 2021 29th Signal …, 2021 - ieeexplore.ieee.org
Steady-state visual evoked potentials (SSVEP) are commonly used in brain computer
interface (BCI) applications such as spelling systems, due to their advantages over other …

Design of Smart Wheelchair for Disabilities with Quadriplegia Through Brain–Computer Interface

KN Manjunatha, H Manjushree, A Manjunath… - … Conference on VLSI …, 2023 - Springer
This paper presents a real-time model for an automated wheelchair that operates by tracking
eye movements, designed to assist individuals suffering from quadriplegia. This innovative …

The application of EEG mental fatigue measurement based on Hilbert-Huang marginal spectrum

K Yu, Q Tao, R Yin, J Fang… - … Conference on Image …, 2022 - spiedigitallibrary.org
Under the condition of modern information technology, the scale of battlefield
electromagnetic information increases exponentially, which makes the electromagnetic …