Brain–computer interfacing has been applied in a range of domains including rehabilitation, neuro-prosthetics, and neurofeedback. Neuroimaging techniques provide insight into the structural functional aspects brain. There is need to identify, map understand various areas brain together with their functionally active roles for accurate efficient design brain–computer interface. In this review, a...

Brain-computer interface (BCI) technology decodes neural signals in real time to control external devices. In this study, chronic epidural micro-electrocorticographic recordings were performed over primary motor (M1) and dorsal premotor (PMd) cortex of three macaque monkeys. The differential gamma-band amplitude (75-105 Hz) from two arbitrarily chosen 300 μm electrodes (one located over each co...

Electroencephalogram (EEG) is the electrical activity of the brain recorded by electrodes placed on the scalp. EEG signals are generally investigated for the diagnosis of mental conditions such as epilepsy, memory impairments, and sleep disorders. In recent years there has been another application using EEG: for brain-computer interface (BCI) designs (Vaughan & Wolpaw, 2006). EEG-based BCI desi...

Advance technologies such as brain imaging have started to provide us with the power to interface with human brain directly through some sensors. These sensors have the ability to monitor some of the physical processes that occur within the brain that correspond with certain forms of thought. In these systems, users explicitly manipulate their brain activity instead of using motor movements to ...

A Brain-Computer Interface (BCI) is a communication system which uses cerebral activity to control external devices or computers. BCI research’s goal is to provide communication capability to the people who are totally paralyzed or suffer neurological neuromuscular disorders like amyotrophic lateral sclerosis, brain stem stroke or spinal cord injury. A BCI system records brain signals and appli...

The goal of proposed work is the development of an electroencephalogram (EEG) based BCI system. The overview of this work is, the user thought is extracted from the brain activity of a healthy person. Pre-processing is performed using filters and wavelet transforms to extract the features and classify them to their respective class. The intention of this work is to enhance human interaction wit...

Brain-Computer Interface (BCI) systems establish a direct communication channel from the brain to an output device. These systems use brain signals recorded from the scalp, the surface of the cortex, or from inside the brain to enable users to control a variety of applications. BCI systems that bypass conventional motor output pathways of nerves and muscles can provide novel control options for...

OBJECTIVE Implantable brain-computer interface (BCI) research promises improvements in human health and enhancements in quality of life. Informed consent of subjects is a central tenet of this research. Rapid advances in neuroscience, and the intimate connection between functioning of the brain and conceptions of the self, make informed consent particularly challenging in BCI research. Identifi...

Brain Computer Interface (BCI) can help patients of neuromuscular diseases restore parts of the movement and communication abilities that they have lost. Most of BCIs rely on mapping brain activities to device instructions, but limited number of brain activities decides the limited abilities of BCIs. To deal with the problem of limited ablility of BCI, this paper verified the feasibility of con...

Operating brain-actuated devices requires split attention between the interaction of the device with its environment and the Brain-Computer Interface (BCI) feedback. In case of screen-based applications it is possible to merge BCI feedback and application, but not in case of controlling devices, like wheelchairs or exoskeletons. Recently we demonstrated that BCI feedback could be provided via t...