title: ÐÐ±ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¸ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð² ÑÐ»ÐµÐºÑÑÐ¸ÑÐµÑÐºÐ¾Ð¹ Ð°ÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ Ð¼Ð¾Ð·Ð³Ð° Ð² ÑÐµÐ°Ð»ÑÐ½Ð¾Ð¼ Ð²ÑÐµÐ¼ÐµÐ½Ð¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Processing and classification of brain electrical activity signals in real time
Creators: name: Ð Ð°Ð·ÑÐ²Ð°ÐµÐ², ÐÐ°Ð½Ð¸Ð¸Ð»
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2021
Subjects: Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð¾Ð²Ð°Ð½Ð¸Ðµ
ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ
Ð½ÐµÐ¹ÑÐ¾Ð¸Ð½ÑÐµÑÑÐµÐ¹ÑÑ
ÑÑÐ³
ÑÐ¸ÑÑÐµÐ¼Ñ âÐ¼Ð¾Ð·Ð³-ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑâ
c++
python
ÑÐ¸Ð»ÑÑÑÐ°ÑÐ¸Ñ
p300
ÑÑÑÑÐ°Ð½ÐµÐ½Ð¸Ðµ Ð°ÑÑÐµÑÐ°ÐºÑÐ¾Ð²
neural networks
deep learning
machine learning
recognition
classification
neural interfaces
eeg
brain-computer systems
filtering
artifact elimination

description: Ð Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÐµ ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ð° ÑÐ¸ÑÑÐµÐ¼Ð° Ð¸Ð½ÑÐµÑÑÐµÐ¹ÑÐ° âÐÐ¾Ð·Ð³-ÐÐ¾Ð¼Ð¿ÑÑÑÐµÑâ (ÐÐÐ), ÑÐ¿Ð¾ÑÐ¾Ð±Ð½Ð°Ñ Ð² ÑÐµÐ°Ð»ÑÐ½Ð¾Ð¼ Ð²ÑÐµÐ¼ÐµÐ½Ð¸ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÑÑÑ Ð²ÑÐ·Ð²Ð°Ð½Ð½ÑÐ¹ Ð¿Ð¾ÑÐµÐ½ÑÐ¸Ð°Ð» P300, Ð²Ð¾Ð·Ð½Ð¸ÐºÐ°ÑÑÐ¸Ð¹ Ð² Ð¼Ð¾Ð·-Ð³Ñ, ÐºÐ¾Ð³Ð´Ð° ÑÐµÐ»Ð¾Ð²ÐµÐº Ð¾Ð¶Ð¸Ð´Ð°ÐµÑ ÑÐ²Ð¸Ð´ÐµÑÑ Ð·Ð°Ð´Ð°Ð½Ð½Ð¾Ðµ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ðµ Ð¸ Ð²Ð¸Ð´Ð¸Ñ ÐµÐ³Ð¾. ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² ÐºÐ»Ð°ÑÑÐ¸-ÑÐ¸ÐºÐ°ÑÐ¸Ð¹ Ð´Ð°Ð½Ð½ÑÑ ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð². ÐÐ° ÑÐ·ÑÐºÐµ Ð¡++ Ð¸ Python ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸, ÑÐ´Ð°Ð»ÐµÐ½Ð¸Ñ Ð°ÑÑÐµÑÐ°ÐºÑÐ¾Ð², ÑÐ¸Ð»ÑÑÑÐ°ÑÐ¸Ð¸ Ð¸ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð² Ð³Ð¾Ð»Ð¾Ð²Ð½Ð¾Ð³Ð¾ Ð¼Ð¾Ð·Ð³Ð°, Ð¿Ð¾Ð·Ð²Ð¾Ð»ÑÑÑÐ¸Ð¹ Ð²Ñ-ÑÐ²Ð¸ÑÑ Ð´Ð°Ð½Ð½ÑÐ¹ ÑÐ¸Ð³Ð½Ð°Ð» ÑÑÐµÐ´Ð¸ Ð¼Ð½Ð¾Ð¶ÐµÑÑÐ²Ð° Ð¸Ð½ÑÑ ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð² Ð¸ ÑÑ-Ð¼Ð°. Ð¡Ð¾Ð·Ð´Ð°Ð½Ð¾ Python Jupyter Notebook Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ðµ Ñ Ð°Ð´Ð°Ð¿ÑÐµ-ÑÐ¾Ð¼, Ð½Ð°Ð¿Ð¸ÑÐ°Ð½Ð½Ð¾Ð¼ Ð½Ð° ÑÐ·ÑÐºÐµ C++, Ð´Ð»Ñ Ð¿Ð¾Ð»ÑÑÐµÐ½Ð¸Ñ Ð´Ð°Ð½Ð½ÑÑ Ð¸Ð· ÑÐ¸-ÑÑÐµÐ¼Ñ Ð¸ ÑÐºÑÐ¿Ð¾ÑÑÐ° Ð¸Ñ Ð² Ð²Ð¸Ð´Ðµ ÑÐ°Ð¹Ð»Ð¾Ð², Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÐµÐ¼ÑÑ ÑÑÐ°Ð½Ð´Ð°ÑÑ-Ð½ÑÐ¼Ð¸ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð°Ð¼Ð¸-Ð°Ð½Ð°Ð»Ð¸Ð·Ð°ÑÐ¾ÑÐ°Ð¼Ð¸ Ð´Ð»Ñ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÐ¸Ð³Ð½Ð°-Ð»Ð¾Ð² Ð­Ð­Ð. ÐÐ°Ð½Ð½Ð°Ñ ÑÐ¸ÑÑÐµÐ¼Ð° ÑÐ²Ð»ÑÐµÑÑÑ ÑÐ¸ÑÑÐµÐ¼Ð¾Ð¹ ÑÐµÐ°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð²ÑÐµ-Ð¼ÐµÐ½Ð¸, ÑÑÐ¾ Ð´Ð°ÐµÑ Ð¿ÑÐµÐ¸Ð¼ÑÑÐµÑÑÐ²Ð¾ Ð² ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ð¸ Ñ ÑÐ¸ÑÑÐµÐ¼Ð°Ð¼Ð¸ Ð¿Ð¾ÑÑÑÐ°ÐºÑÑÐ¼Ð½Ð¾Ð¹ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð¸ Ð°Ð½Ð°Ð»Ð¸Ð·Ð°. ÐÑÐµÐ½Ð¸Ð²Ð°ÐµÑÑÑ ÑÐ¾ÑÐ½Ð¾ÑÑÑ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½Ð¾Ð³Ð¾ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¾ÑÐ°.
description: In this work, the Brain-Computer interface system (BCI) is im-plemented, which is able to determine in real time the evoked potential of P300, which occurs in the brain when a person ex-pects to see a given image and sees it. The analysis of the exist-ing methods of classification of these signals is carried out. In C++ and Python, an algorithm for processing, removing artifacts, filtering and classifying brain signals is implemented, which al-lows you to identify this signal among many other signals and noise. Python Jupyter Notebook is an application with an adapter written in C++ for getting data from the system and exporting it as files used by standard analyzer programs for studying EEG signals. This system is a real-time system, which gives an ad-vantage in comparison with post-fact processing and analysis systems. The accuracy of the developed classifier is evaluated.