Modelirovanie rasprostranenija izlučenija v BIKS s učetom anizotropii rassejanjia dlja optimizacii raspoloženjia istočnikov i prijomnikov izlučenija.

0476817 - ÚI 2018 RIV RU rus J - Článek v odborném periodiku
Isaev, M.R. - Oganesyan, V.V. - Húsek, Dušan - Snášel, V.
Modelirovanie rasprostranenija izlučenija v BIKS s učetom anizotropii rassejanjia dlja optimizacii raspoloženjia istočnikov i prijomnikov izlučenija.
[Modeling of Light Propagation in Head Tissues with Taking into Account Anisotropy of Scattering for Optimization of Sources and Detectors Location in the Brain-Computer Interface baded in Near Infrared Spectroscopy.]
Zhurnal Vysshei Nervnoi Deyatelnosti Imeni I P Pavlova. Roč. 67, č. 4 (2017), s. 546-553. ISSN 0044-4677
Institucionální podpora: RVO:67985807
Klíčová slova: brain-computer interface * Monte-Carlo simulation * near-infrared spectroscopy * focuses of hemodynamic activity
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impakt faktor: 0.311, rok: 2017
https://elibrary.ru/item.asp?id=29766803

Opisyvaetsa primenenie metoda Monte-Karlo modelirovanija dlja utočnenija parametrov prochoždenija izlučenija bližnej infrakrasnojj oblasti čerez tkani golovy, neobchodimych dlja optimizacii raboty interfejsov mozg-kompjuter. V rabote ispolzovalas četyrjochslojnaja sferičeskaja model golovy, sostojaščaja iz slojov koži, kosti, serogo i belogo veščestva. Polučeny zavisimosti parametrov registriruemogo izlučenija ot rasstojanija meždu istočnikom i detektorom.

The application of the Monte Carlo simulation method was described to specify the parameters of the near infrared light propagation through the head tissues necessary to optimize the operation of the brain-computer interfaces. Four-layered spherical head model, consisting of layers of skin, bone, gray and white matter, was used. The dependences of the parameters of the detected light on the distance between the source and the detector are obtained.
Trvalý link: http://hdl.handle.net/11104/0273232