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Brain‐computer interfaces for amyotrophic lateral sclerosis
Author(s) -
McFarland Dennis J.
Publication year - 2020
Publication title -
muscle and nerve
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.025
H-Index - 145
eISSN - 1097-4598
pISSN - 0148-639X
DOI - 10.1002/mus.26828
Subject(s) - brain–computer interface , amyotrophic lateral sclerosis , interface (matter) , neuroscience , brain function , physical medicine and rehabilitation , computer science , medicine , psychology , electroencephalography , pathology , disease , bubble , maximum bubble pressure method , parallel computing
A brain‐computer interface (BCI) is a device that detects signals from the brain and transforms them into useful commands. Researchers have developed BCIs that utilize different kinds of brain signals. These different BCI systems have differing characteristics, such as the amount of training required and the degree to which they are or are not invasive. Much of the research on BCIs to date has involved healthy individuals and evaluation of classification algorithms. Some BCIs have been shown to have potential benefit for users with minimal muscular function as a result of amyotrophic lateral sclerosis. However, there are still several challenges that need to be successfully addressed before BCIs can be clinically useful.