Achieving consistent accuracy still big challenge in EEG based Motor Imagery classification
since the nature of EEG signal is non-stationary, intra-subject and inter-subject dependent …

Motor imagery brain-computer interface (MI-BCI) is well approved to help people with
movement impairments due to neural disorders. The procedure for MI-BCI to translate MI …

In the world, about 15% of the world's population lives with some form of disability, of whom
2-4% experience significant difficulties in functioning. Brain-Computer Interface (BCI) is one …

The EEG recording records the electrical activity of the brain and measures activity with
electrodes on the scalp; This record is the most widely used in the clinical and research …

Pertussis is an illness caused by a throat infection from Bordetella pertussis bacteria. Every
year, areas vulnerable to Pertussis have increased, which can lead to extraordinary …

The EEG-based motor imagery task classification has been a challenge for researchers due
to the complex nature of EEG data. Human thoughts are a complex combination of different …

Motor Imagery handles the brain activity patterns of motor action without explicit movements.
For extracting the discriminating features, Common Spatial Patterns are the most widely …

Brain–computer interfaces are systems capable of mapping brain activity to specific
commands, which enables to remotely automate different types of processes in hardware …

Brain-computer interface (BCI) is a technology that controls computer and transmits intention
by measuring and analyzing electroencephalogram (EEG) signals generated in multi …

The brain-computer interface can create a connection between the central nervous system
of a human or animal and an external device to exchange information. We designed a …