EEG-based brain-computer interfaces: a thorough literature survey
Brain–computer interface (BCI) technology has been studied with the fundamental goal of
helping disabled people communicate with the outside world using brain signals. In …
helping disabled people communicate with the outside world using brain signals. In …
Multi-class motor imagery EEG decoding for brain-computer interfaces
Recent studies show that scalp electroencephalography (EEG) as a non-invasive interface
has great potential for brain-computer interfaces (BCIs). However, one factor that has limited …
has great potential for brain-computer interfaces (BCIs). However, one factor that has limited …
[PDF][PDF] Brain-computer interface as measurement and control system the review paper
In the last decade of the XX-th century, several academic centers have launched intensive
research programs on the brain-computer interface (BCI). The current state of research …
research programs on the brain-computer interface (BCI). The current state of research …
[PDF][PDF] Linear discriminant analysis as EEG features reduction technique for brain-computer interfaces
BCI systems analyze the EEG signal and translate patient intentions into simple commands.
Signal processing methods are very important in such systems. Signal processing covers …
Signal processing methods are very important in such systems. Signal processing covers …
A new method of EEG classification for BCI with feature extraction based on higher order statistics of wavelet components and selection with genetic algorithms
A new method of feature extraction and selection of EEG signal for brain-computer interface
design is presented. The proposed feature selection method is based on higher order …
design is presented. The proposed feature selection method is based on higher order …
[HTML][HTML] Brain computer interaction (BCI): A way to interact with brain waves
Can you login to a computer without coming into physical contact with it, ie, with your mind?
With this process, a new biometric feature can be developed for authenticating a computer …
With this process, a new biometric feature can be developed for authenticating a computer …
[PDF][PDF] Intelligent machine learning based EEG signal classification model
M Al Duhayyim, HM Alshahrani… - Comput. Mater …, 2022 - cdn.techscience.cn
In recent years, Brain-Computer Interface (BCI) system gained much popularity since it aims
at establishing the communication between human brain and computer. BCI systems are …
at establishing the communication between human brain and computer. BCI systems are …
Implementation of selected EEG signal processing algorithms in asynchronous BCI
A Majkowski, M Kolodziej… - 2012 IEEE International …, 2012 - ieeexplore.ieee.org
Implementation of selected EEG signal processing algorithms in asynchronous BCI Page 1
Abstr brain syste is im the B Keyw signa BCI2 A (Jacq com in th acro elect com signa meth and …
Abstr brain syste is im the B Keyw signa BCI2 A (Jacq com in th acro elect com signa meth and …
[PDF][PDF] A new method of feature extraction from EEG signal for brain-computer interface design
The main aim of the article is to introduce a new method of feature extraction from EEG
signal for brain-computer interface design. The proposed algorithms are based on wavelet …
signal for brain-computer interface design. The proposed algorithms are based on wavelet …
Signaleeg: A practical tool for EEG signal data mining
Due to the proliferation of brain and neurological disorders (World Health Organization
2006), EEG (Blinowska and Durka 2006) is gaining attention as a support for decision …
2006), EEG (Blinowska and Durka 2006) is gaining attention as a support for decision …