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Hardware-Software Complex of the Mobile Brain-Computer Interface for Technical Means of Rehabilitation

EasyChair Preprint no. 1986

6 pagesDate: November 18, 2019


Brain-computer interfaces (BCI), which are systems for the exchange of information between the brain and an electronic device, are the subject of unabated scientific interest in many laboratories in the world. Today, the practical application of BCI is found mainly in the field of rehabilitation. Research conducted in the 1970s at the University of California at Los Angeles (UCLA) showed the fundamental possibility of restoring the damaged functions of hearing and vision, as well as lost motor skills due to biological feedback. In this paper, the hardware-software complex of a mobile sensorimotor BCI based on EEG for controlling modern technical means of rehabilitation is considered. Software implementation of the technology of localization of sources of electrical activity of the brain allows designing a device with the number and location of electrodes that is optimal for a particular patient according to the signal to noise ratio. The basis of the device is a wearable platform for enhancing biopotentials, providing mobility and ease of use in combination with technical means of rehabilitation.

Keyphrases: Brain Computer Interface, Cyber-Physical Systems, EEG, Rehabilitation

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Julia Nekrasova and Anastasia Sudareva and Andrey Kolosov and Konstantin Kovalev},
  title = {Hardware-Software Complex of the Mobile Brain-Computer Interface for Technical Means of Rehabilitation},
  howpublished = {EasyChair Preprint no. 1986},

  year = {EasyChair, 2019}}
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