Brain–computer interface: trend, challenges, and threats

B Maiseli, AT Abdalla, LV Massawe, M Mbise… - Brain informatics, 2023‏ - Springer
Abstract Brain–computer interface (BCI), an emerging technology that facilitates
communication between brain and computer, has attracted a great deal of research in recent …

[HTML][HTML] Embedded brain computer interface: State-of-the-art in research

K Belwafi, S Gannouni, H Aboalsamh - Sensors, 2021‏ - mdpi.com
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 …

Advanced machine-learning methods for brain-computer interfacing

Z Lv, L Qiao, Q Wang, F Piccialli - IEEE/ACM Transactions on …, 2020‏ - ieeexplore.ieee.org
The brain-computer interface (BCI) connects the brain and the external world through an
information transmission channel by interpreting the physiological information of the brain …

An accurate eegnet-based motor-imagery brain–computer interface for low-power edge computing

X Wang, M Hersche, B Tömekce, B Kaya… - 2020 IEEE …, 2020‏ - ieeexplore.ieee.org
This paper presents an accurate and robust embedded motor-imagery brain–computer
interface (MI-BCI). The proposed novel model, based on EEGNet [1], matches the …

A feasibility study of a complete low-cost consumer-grade brain-computer interface system

V Peterson, C Galván, H Hernández, R Spies - Heliyon, 2020‏ - cell.com
Brain-computer interfaces (BCIs) are technologies that provide the user with an alternative
way of communication. A BCI measures brain activity (eg EEG) and converts it into output …

An embedded implementation based on adaptive filter bank for brain–computer interface systems

K Belwafi, O Romain, S Gannouni, F Ghaffari… - Journal of neuroscience …, 2018‏ - Elsevier
Background Brain–computer interface (BCI) is a new communication pathway for users with
neurological deficiencies. The implementation of a BCI system requires complex …

Biowolf: A sub-10-mw 8-channel advanced brain–computer interface platform with a nine-core processor and ble connectivity

V Kartsch, G Tagliavini, M Guermandi… - IEEE transactions on …, 2019‏ - ieeexplore.ieee.org
Advancements in digital signal processing (DSP) and machine learning techniques have
boosted the popularity of brain-computer interfaces (BCIs), where electroencephalography …

On-fpga spiking neural networks for end-to-end neural decoding

G Leone, L Raffo, P Meloni - IEEE Access, 2023‏ - ieeexplore.ieee.org
In the last decades, deep learning neural decoding algorithms have gained momentum in
the field of neural interfaces and neural processing systems. However, to be deployed on …

A wearable brain-computer interface with fewer EEG channels for online motor imagery detection

Z Rao, J Zhu, Z Lu, R Zhang, K Li… - IEEE Transactions on …, 2024‏ - ieeexplore.ieee.org
Motor imagery-based brain-computer interfaces (MI-BCIs) have significant potential for
neurorehabilitation and motor recovery. However, most BCI systems employ multi-channel …

Alpha band neurofeedback training based on a portable device improves working memory performance of young people

XY Chen, L Sui - Biomedical Signal Processing and Control, 2023‏ - Elsevier
Abstract Background Working Memory (WM) plays a key role in cognitive activities such as
problem solving, intellectual reasoning, and mathematical calculation. It has been reported …