Advances in brain-computer interface for decoding speech imagery from EEG signals: a systematic review

N Rahman, DM Khan, K Masroor, M Arshad… - Cognitive …, 2024 - Springer
Numerous individuals encounter challenges in verbal communication due to various factors,
including physical disabilities, neurological disorders, and strokes. In response to this …

[HTML][HTML] Brain–computer interfaces: the innovative key to unlocking neurological conditions

H Zhang, L Jiao, S Yang, H Li, X Jiang… - … Journal of Surgery, 2024 - journals.lww.com
Neurological disorders such as Parkinson's disease, stroke, and spinal cord injury can pose
significant threats to human mortality, morbidity, and functional independence. Brain …

Noninvasive brain-computer interfaces for children with neurodevelopmental disorders: Attention deficit hyperactivity disorder and autism spectrum disorder

T Zhang, X Zhou, X Li, Y Wang, Q Fan, J Liang, F Wu… - Displays, 2024 - Elsevier
Background: Brain-computer interface (BCI)-mediated neurofeedback training (BCI-NFT)
has emerged as a highly promising treatment in the field of neurorehabilitation. Many …

[PDF][PDF] EEG Signal Analysis for Multimodal Simple Concepts Decoding

SG Jiménez, LJ Tardón, AM Barbancho… - Proceedings of the …, 2024 - aclanthology.org
In this paper, we explore the use of a feature extraction model for the detection of basic
decision-making concepts such as “yes” and “no” in several communication channels using …

[PDF][PDF] Investigative Approach of Graphology to Determine Gender from Handwriting Analysis

H Yadav, P Agarwal, S Kumar - researchgate.net
1. BACKGROUND A person's writing abilities, including their signature, are the outcome of a
confluence of mental, physical, neurological, and visual processes. Consequently, writing by …

[引用][C] Secure and Efficient Tree-based Classifiers and Applications

J Bai - 2023 - ResearchSpace@ Auckland