DOI: 10.17587/prin.14.254-260

Software Platform for Reading, Processing and Analyzing EEG Data

N. A. Babbysh, Postgraduate Student, nickware@mail.ru, Institute for Problems in Mechanical Engineering of the Russian Academy of Sciences, Saint-Petersburg, 199178, Russian Federation

Corresponding author: Nikolay A. Babbysh, Postgraduate Student, Institute for Problems in Mechanical Engineering of the Russian Academy of Sciences, Saint-Petersburg, 199178, Russian Federation, E-mail: nickware@mail.ru

Electroencephalogram (EEG) data can be used in many different areas. For example, for diagnosing brain diseases, in brain computer interfaces, for conducting various studies, and much more. To apply EEG data, a large set of different algorithms for preprocessing and analyzing these data is needed. This paper describes a software platform containing a set of tools for automated processing of EEG signals and their analysis, including machine learning methods. The platform has a flexible architecture and consists of modules, which allows it to be used for various purposes. Data can be obtained both from files and directly from the electroencephalograph device in real time. The graphical interface provides a convenient way to configure the modules of the software. The software interface of client applications (API) makes it possible to use this platform to create prototypes of devices that use EEG data for their work.

Keywords: signal analysis, EEG analysis, machine learning, brain rhythm indicators, signal filtering, brain rhythms, software platform

pp. 254–260

For citation:
Babbysh N. A. Software Platform for Reading, Processing and Analyzing EEG Data, Programmnaya Ingeneria, 2023, vol. 14, no. 5, pp. 254—260. DOI: 10.17587/prin.14.254-260 (in Russian).

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