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Conference object . 2019
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Электроэнцефалограф на наносенсорах для регистрации биопотенциалов мозга в диапазоне частот до 10КГЦ

descriptionPublicationkeyboard_double_arrow_right Conference object 01 Mar 2019 Russian Federation Russian

Электроэнцефалограф на наносенсорах для регистрации биопотенциалов мозга в диапазоне частот до 10КГЦ

Abstract

Представлены методы исследования структуры головного мозга человека. Рассмотрены современные электроэнцефалографы, используемые в медицине. В статье описывается разработка электроэнцефалографа для регистрации сигналов ЭЭГ при помощи наносенсоров. Электроэнцефалограф с расширенным диапазоном частот дает возможность регистрировать биопотенциалы для получения дополнительных данных с целью использования исследованиях гамма-ритмов.

Methods for studying the structure of the human brain have been studied. The modern electroencephalographs used in medicine are considered. The article describes the development of an electroencephalograph for recording EEG signals with the help of nanosensors. An electroencephalograph with an extended frequency range makes it possible to register biopotentials to obtain additional data for the purpose of using gamma-rhythms.

Country
Russian Federation
Related Organizations
Keywords

электроэнцефалографы, биопотенциалы, мозг, наносенсоры, brain biopotential, nanosensor, ритмы, rhythm, electroencephalography, электроэнцефалография, electroencephalograph

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Related to Research communities
Neuroscience