Noninvasive electroencephalography equipment for assistive, adaptive, and rehabilitative brain–computer interfaces: a systematic literature review

N Jamil, AN Belkacem, S Ouhbi, A Lakas - Sensors, 2021 - mdpi.com
Humans interact with computers through various devices. Such interactions may not require
any physical movement, thus aiding people with severe motor disabilities in communicating …

Motor-imagery EEG-based BCIs in wheelchair movement and control: A systematic literature review

A Palumbo, V Gramigna, B Calabrese, N Ielpo - Sensors, 2021 - mdpi.com
The pandemic emergency of the coronavirus disease 2019 (COVID-19) shed light on the
need for innovative aids, devices, and assistive technologies to enable people with severe …

EEG-based BCIs on motor imagery paradigm using wearable technologies: a systematic review

A Saibene, M Caglioni, S Corchs, F Gasparini - Sensors, 2023 - mdpi.com
In recent decades, the automatic recognition and interpretation of brain waves acquired by
electroencephalographic (EEG) technologies have undergone remarkable growth, leading …

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 …

An eye tracking and brain–computer interface-based human–environment interactive system for amyotrophic lateral sclerosis patients

J Wang, S Xu, Y Dai, S Gao - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Amyotrophic lateral sclerosis (ALS) patients suffer a great inconvenience in their daily lives
due to the gradual loss of their motion abilities. In order to help ALS patients regain their self …

Brain–computer interface based on steady-state visual evoked potential using quick-response code pattern for wheelchair control

N Siribunyaphat, Y Punsawad - Sensors, 2023 - mdpi.com
Brain–computer interfaces (BCIs) are widely utilized in control applications for people with
severe physical disabilities. Several researchers have aimed to develop practical brain …

Brain-controlled wheelchair review: From wet electrode to dry electrode, from single modal to hybrid modal, from synchronous to asynchronous

H Wang, F Yan, T Xu, H Yin, P Chen, H Yue… - IEEE …, 2021 - ieeexplore.ieee.org
Brain-computer interface (BCI) is a novel human-computer interaction model, which does
not depend on the conventional output pathway (peripheral nerve and muscle tissue). In the …

A tale of single-channel electroencephalogram: Devices, datasets, signal processing, applications, and future directions

Y Li, W Zeng, W Dong, D Han, L Chen, H Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
Single-channel electroencephalogram (EEG) is a cost-effective, comfortable, and non-
invasive method for monitoring brain activity, widely adopted by researchers, consumers …

Brain waves classification using a single-channel dry EEG headset: an application for controlling an intelligent wheelchair

P Almeida, BM Faria, LP Reis - … on Practical Applications of Agents and …, 2023 - Springer
Assistive technologies such as Intelligent Wheelchairs (IWs) can improve mobility and
independence among elders and disabled people. To achieve this, various adapted sensors …

LabVIEW and Android BCI chat app controlled by voluntary eye-blinks using neurosky mindwave mobile EEG headset

OA Rușanu, L Cristea… - … Conference on e-Health …, 2020 - ieeexplore.ieee.org
This paper proposes a simple chat application based on a brain-computer interface,
intended to be used by neuromotor disabled persons that want to interact with someone else …