Review of machine learning techniques for EEG based brain computer interface
S Aggarwal, N Chugh - Archives of Computational Methods in …, 2022 - Springer
A brain computer interface (BCI) framework uses computer algorithms to detect mental
activity patterns and manipulate external devices. Because of its simplicity and non …
activity patterns and manipulate external devices. Because of its simplicity and non …
Brain-computer interface: Advancement and challenges
Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …
EEG feature fusion for motor imagery: A new robust framework towards stroke patients rehabilitation
Stroke is the second foremost cause of death worldwide and is one of the most common
causes of disability. Several approaches have been proposed to manage stroke patient …
causes of disability. Several approaches have been proposed to manage stroke patient …
Are low cost Brain Computer Interface headsets ready for motor imagery applications?
JA Martinez-Leon, JM Cano-Izquierdo… - Expert Systems with …, 2016 - Elsevier
Low cost electroencephalography (EEG) headset devices for brain data capturing are fast
becoming a key instrument on Brain Computer Interface (BCI) applications. In spite of being …
becoming a key instrument on Brain Computer Interface (BCI) applications. In spite of being …
A review and experimental study on the application of classifiers and evolutionary algorithms in EEG-based brain–machine interface systems
F Tahernezhad-Javazm, V Azimirad… - Journal of neural …, 2018 - iopscience.iop.org
Objective. Considering the importance and the near-future development of noninvasive
brain–machine interface (BMI) systems, this paper presents a comprehensive theoretical …
brain–machine interface (BMI) systems, this paper presents a comprehensive theoretical …
Deep residual convolutional neural networks for brain–computer interface to visualize neural processing of hand movements in the human brain
Y Fujiwara, J Ushiba - Frontiers in Computational Neuroscience, 2022 - frontiersin.org
Concomitant with the development of deep learning, brain–computer interface (BCI)
decoding technology has been rapidly evolving. Convolutional neural networks (CNNs) …
decoding technology has been rapidly evolving. Convolutional neural networks (CNNs) …
Improved motor imagery brain-computer interface performance via adaptive modulation filtering and two-stage classification
Electroencephalogram (EEG) based brain-computer interfaces (BCI) monitor neural activity
and translate these signals into actions and/or decisions, with the final goal of enabling …
and translate these signals into actions and/or decisions, with the final goal of enabling …
Classification of mental tasks from EEG data using backtracking search optimization based neural classifier
SK Agarwal, S Shah, R Kumar - Neurocomputing, 2015 - Elsevier
Abstract Brain Computer Interface (BCI) has been applied to augment impaired human
cognitive function by converting mental signals into control signals. This paper presents a …
cognitive function by converting mental signals into control signals. This paper presents a …
Brain computer interface-based signal processing techniques for feature extraction and classification of motor imagery using EEG: A literature review
D Jaipriya, KC Sriharipriya - Biomedical Materials & Devices, 2024 - Springer
A communication path for people having severe neural disorders is provided by Brain
Computer Interaction. The Brain–Computer Interface in an electroencephalogram is an …
Computer Interaction. The Brain–Computer Interface in an electroencephalogram is an …
Automatic feature selection for BCI: an analysis using the davies-bouldin index and extreme learning machines
In this work, we present a novel framework for automatic feature selection in brain-computer
interfaces (BCIs). The proposal, which manipulates features generated in the frequency …
interfaces (BCIs). The proposal, which manipulates features generated in the frequency …