[HTML][HTML] Review on the use of brain computer interface rehabilitation methods for treating mental and neurological conditions

V Khorev, S Kurkin, A Badarin, V Antipov… - Journal of Integrative …, 2024 - imrpress.com
This review provides a comprehensive examination of recent developments in both
neurofeedback and brain-computer interface (BCI) within the medical field and …

Aging prediction in single based propellants using hybrid strategy of machine learning and genetic algorithm

F Khalid, MN Aslam, MA Ghani, N Ahmad… - … and Intelligent Laboratory …, 2024 - Elsevier
This study proposes novel approach that combines optimization and machine learning to
predict the aging of single-base propellants in alignment with the high-performance liquid …

Editorial for the Special Issue “Sensing Brain Activity Using EEG and Machine Learning”

P Rogelj - Sensors, 2024 - mdpi.com
Sensing brain activity to reveal, analyze and recognize brain activity patterns has become a
topic of great interest and ongoing research. One of the most popular methods to obtain data …

Research on MI EEG signal classification algorithm using multi-model fusion strategy coupling

W Quanyu, D Sheng, T Weige, P Lingjiao… - Computer Methods in …, 2023 - Taylor & Francis
To enhance the accuracy of motor imagery (MI) EEG signal recognition, two methods,
namely power spectral density and wavelet packet decomposition combined with a common …

EEG Acquisition and Motor Imagery Classification for Robotic Control

H Amrani, D Micucci, M Nalin… - 2024 46th Annual …, 2024 - ieeexplore.ieee.org
The adoption of brain-computer interfaces (BCIs) has significantly increased in various
application domains, particularly in the field of controlling robotic systems through motor …

Motor imagery classification in a brain-computer interface using kinesthetic vibrotactile guidance and information entropy

L Batistić - 2023 - unirepository.svkri.uniri.hr
Sažetak Motor imagery (MI), a cognitive process involving the imagined performance of a
motor task without actual movement execution, plays an important role in assistive …