What is the role of electroencephalographic control input in motor and cognitive performance modification using a visual-haptic interface?

Updated: Aug 20, 2019
  • Author: Morris Steffin, MD; Chief Editor: Jonathan P Miller, MD  more...
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Beyond the potential for facial control lies a domain for patients with severe neuromuscular disorders that may impair facial as well as body movement. For these patients, a more fundamental means to achieve a machine haptic interface is direct control by electroencephalography (EEG).

Several computational approaches to EEG analysis and control have been developed. [14, 15] A patient with amyotrophic lateral sclerosis (ALS) was able to use slow cortical potentials to steer a cursor among several choices. [16] However, fine motor control is not as well managed as more limited goal selection. [17] Models of EEG generation, such as thalamocortical generators, have been employed to simulate EEG activity produced by actual subjects in an attempt to improve performance. [18] Vibrational rather than full haptic feedback has been demonstrated to alter mu rhythms to allow enhanced EEG modulation of cursor movement. [19]

Generally, however, these methods are at an early phase of development. Both accuracy and reliability are limited to directing activity in highly controlled environments.

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