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Evaluation of the P300 parameters with photic stimulation

DOI 10.18127/j15604136-2018007-11

Keywords:

A.N. Dmitriev - Bauman Moscow State Technical University, Moscow, Russian Federation

S.I. Shchukin  - Bauman Moscow State Technical University, Moscow, Russian Federation


Modern rehabilitation methods for patients with musculoskeletal   problems after stroke include the following:   therapeutic physical training methods, massage, physiotherapy,   high-tech methods, etc. [1] High-tech methods   include: the creation of supportive and "stimulating" robotic   devices, the use of virtual reality, transcranial magnetic   stimulation and BCI is often used for rehabilitation   tasks based on movement presentation [2, 3]. Currently,   the use of BCI to control fingers movement based on the   cognitive evoked potential (EP) P300 has been studied   [4].   The purpose of this paper is to study the influence of spatial   and temporal stimulation parameters on P300 detection.

References:
  1. O.A. Mokienko, N.A. Suponeva, G.A. Asiatskaya, A.S. Klotchkow etc. Clinical recommendation «Stroke in adult: central paresis of upper limb". Rehabilitation specialist’s union of Russia, Moscow, 2017.
  2. O.A. Mokienko, P.D. Bobrov, L.A. Chernikova, A.A. Frolov. Based on motor imagery brain-computer interface for rehabilitation patients with hemiparesis, J Byulleten Siberian medicine, 12: 30-35, 2013.
  3. K. K. Ang, C. Guan, K. Sui Geok Chua, B. T. Ang etc. Motor imagery BCI for upper limb stroke rehabilitation: an evaluation. IEEE International Conference on Engineering in Medicine and Biology Society(EMBC), Tokio, 261 –264, 2017.
  4. A.Ya. Kaplan, D.D. Zhigulskaya, D.A. Kirjanov. Research the possibility single fingers of human phantom arm management in brain computer-interface circuit. J Russian State Medical University messenger, Moscow, 2: 26-30, 2017.
  5. V.V. Gnezditsky. Vyzvannye potencialy v klinicheskoj praktike. TRTU, Taganrog, 1997.
  6. A.N. Dmitriev, I.K. Sergeev, S.I. Shchukin. Evaluation influence spatial distance between photostimulation’s on detection P300. J Biomedicinskaya radioelektronika, 9: 19-22, 2017.

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