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Evaluating Brain-Computer Interface Performance Using Color in the P300 Checkerboard Speller
A Brain Computer Interface (BCI) is a specific type of human-machine interaction. BCI is a direct link between the human brain and a computer. BCIs can be defined as invasive utilizing techniques requiring implantation such as electrocorticography (ECoG), or non-invasive techniques utilizing techniques requiring surface electrodes such as electroencephalography (EEG [Wolpaw et al. 2003]). A BCI can provide an important communication outlet for those who are “locked-in” by amyotrophic lateral sclerosis (ALS), brain stem stroke, or head trauma.
Source: Clinical Neurophysiology - August 8, 2017 Category: Neuroscience Authors: D.B. Ryan, G. Townsend, N.A. Gates, K. Colwell, E.W. Sellers Source Type: research

An automated and fast approach to detect single-trial visual evoked potentials with application to brain–computer interface
Brain–computer interface (BCI) is an emerging technology which can establish a pathway between the human brain and computers through recording and decoding brain activity (Wolpaw et al., 2002). Since the control of BCI system is directly based on the recorded brain activity without the involvement of neuromuscular system, it allows people who suffer from motor dysfunction or impairment (e.g., amyotrophic lateral sclerosis, brainstem stroke, and spinal cord injury) to communicate with the external world or control prosthesis (Vaughan et al., 2003).
Source: Clinical Neurophysiology - April 14, 2014 Category: Neuroscience Authors: Yiheng Tu, Yeung Sam Hung, Li Hu, Gan Huang, Yong Hu, Zhiguo Zhang Source Type: research

A region-based two-step P300-based brain–computer interface for patients with amyotrophic lateral sclerosis
The brain–computer interface (BCI) or brain–machine interface (BMI) is an interface technology that enables communication with others and control of the environment or of a prosthesis without any muscle movement (Wolpaw et al., 2002; Birbaumer and Cohen, 2007; Daly and Wolpaw, 2008). In this decade, the use of BCI technology has become widespread, mainly for preclinical research, due to technical and mechanical improvements, and new technology been designed to help individuals with severe neurological disabilities, especially motor difficulties such as amyotrophic lateral sclerosis (ALS), spinal cord injury (SCI), and cerebral stroke.
Source: Clinical Neurophysiology - March 26, 2014 Category: Neuroscience Authors: Shiro Ikegami, Kouji Takano, Kiyohiko Kondo, Naokatsu Saeki, Kenji Kansaku Source Type: research

Toward gaze-independent brain-computer interfaces
The ability to communicate by speech, text or gestures is essential to human interaction. This ability is impaired in many people who are affected by debilitating neuromuscular disorders such as amyotrophic lateral sclerosis (ALS), brainstem stroke, or spinal cord injury. Conventional assistive devices (e.g., letter boards, cheek or tongue switches, or eye trackers) that aim to restore communication functions all require muscular control, which is often lost in the progress of neuromuscular disorders.
Source: Clinical Neurophysiology - March 6, 2013 Category: Neuroscience Authors: Peter Brunner, Gerwin Schalk Tags: Editorials Source Type: research