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[HTML][HTML] 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 …
Electroencephalography (EEG) technology applications and available devices
The electroencephalography (EEG) sensor has become a prominent sensor in the study of
brain activity. Its applications extend from research studies to medical applications. This …
brain activity. Its applications extend from research studies to medical applications. This …
[HTML][HTML] Augmentative and alternative communication (AAC) advances: A review of configurations for individuals with a speech disability
High-tech augmentative and alternative communication (AAC) methods are on a constant
rise; however, the interaction between the user and the assistive technology is still …
rise; however, the interaction between the user and the assistive technology is still …
[HTML][HTML] An efficient CNN based epileptic seizures detection framework using encrypted EEG signals for secure telemedicine applications
Recently, the rapid development of Artificial Intelligence (AI) applied in the Medical Internet
of Things (MIoT) for the diagnosis of diseases such as epilepsy based on the investigation of …
of Things (MIoT) for the diagnosis of diseases such as epilepsy based on the investigation of …
EEG-based intention recognition with deep recurrent-convolution neural network: Performance and channel selection by Grad-CAM
Y Li, H Yang, J Li, D Chen, M Du - Neurocomputing, 2020 - Elsevier
Abstract Electroencephalography (EEG) based Brain-Computer Interface (BCI) enables
subjects to communicate with the outside world or control equipment using brain signals …
subjects to communicate with the outside world or control equipment using brain signals …
Converting your thoughts to texts: Enabling brain ty** via deep feature learning of eeg signals
An electroencephalography (EEG) based Brain Computer Interface (BCI) enables people to
communicate with the outside world by interpreting the EEG signals of their brains to interact …
communicate with the outside world by interpreting the EEG signals of their brains to interact …
EEG-based motion intention recognition via multi-task RNNs
Recognition of human intention based on Electroencephalography (EEG) signals attracts
strong research interest in pattern recognition because of its promising applications that …
strong research interest in pattern recognition because of its promising applications that …
A Critical survey of EEG-based BCI systems for applications in industrial internet of things
Industrial Internet of Things (IIoT) and its applications have seen a paradigm shift since the
advent of artificial intelligence and machine learning. However, these methods are mostly …
advent of artificial intelligence and machine learning. However, these methods are mostly …
Motor imagery based brain-computer interface: improving the EEG classification using Delta rhythm and LightGBM algorithm
This article contains a new method to improving the EEG motor imagery classification
system quality with an application on BCI competition IV 2a, 2b, and PhysioNet EEG-MI …
system quality with an application on BCI competition IV 2a, 2b, and PhysioNet EEG-MI …
A novel framework of EEG-based user identification by analyzing music-listening behavior
This paper introduces a novel framework for user identification by analyzing neuro-signals.
Studies regarding Electroencephalography (EEG) revealed that such bio-signals are …
Studies regarding Electroencephalography (EEG) revealed that such bio-signals are …