Abstract: Objective: Brain-computer interfaces (BCIs) have tremendous application potential in communication, mechatronic control and rehabilitation. However, existing BCI systems are bulky, expensive ...

Abstract: An asynchronous brain computer interface (A-BCI) determines whether or not a subject is on control state, and produces control commands only in case of subject's being on control state. In ...

Brain–Computer Interfaces (BCIs) are neurotechnological systems that establish a direct communication pathway between the human brain and external devices. By decoding neural signals and translating ...

aCognitive and Motor Learning Laboratory, Louis Stokes Cleveland VA Medical Center and Department of Neurology, Case Western Reserve University School of Medicine, Cleveland, OH, USA Recent advances ...

The emerging field of wearable brain-computer interface (BCI) strives to achieve both high spatial and temporal resolution. The performance of flexible brain electronic sensor (FBES) has been ...

Brain–computer interfaces (BCIs) use brain signals to communicate a user’s intent (Wolpaw et al., 2002). Because these systems directly translate brain activity into action, without depending on ...

What are brain-computer interfaces? Brain-computer interfaces (BCIs) are devices that allow for the action or control of an external device from brain signals. These technologies have a broad range of ...

Recent advances in analysis of brain signals, training patients to control these signals, and improved computing capabilities have enabled people with severe motor disabilities to use their brain ...

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Brain-computer interfaces (BCIs) have long been seen as control interfaces that translate changes in brain activity, produced either by means of a volitional modulation or in response to an external ...

Error-related potentials (ErrPs) are the neural signature of error processing. Therefore, the detection of ErrPs is an intuitive approach to improve the performance ...