title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ Ð¿ÑÐ¾ÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð½ÐµÐ¹ÑÐ¾Ð¸Ð½ÑÐµÑÑÐµÐ¹ÑÐ¾Ð²
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Development of machine learning algorithms for neurointerfaces
Creators: name: Ð¢Ð¾Ð¿ÑÑ, ÐÑÑÐ°Ð¼Ð¼ÐµÐ´
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: 2019
Subjects: ÐÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
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description: ÐÐµÐ¹ÑÐ¾-ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½ÑÐµ Ð¸Ð½ÑÐµÑÑÐµÐ¹ÑÑ Ð¸ Ð¸Ñ Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ ÑÑÐ°Ð½Ð¾Ð²ÑÑÑÑ Ð²ÑÐµ Ð±Ð¾Ð»ÐµÐµ Ð¿Ð¾Ð¿ÑÐ»ÑÑÐ½ÑÐ¼Ð¸ Ñ Ð³Ð¾Ð´Ð°Ð¼Ð¸. ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¿Ð¾ ÑÑÐ¾Ð¹ ÑÐµÐ¼Ðµ Ð¾Ð±ÑÐ¸ÑÐ½Ñ, Ð¸ Ð¾Ð½Ð¸ ÑÐ²ÑÐ·Ð°Ð½Ñ Ñ Ð¼ÐµÑÐ¾Ð´Ð°Ð¼Ð¸ Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑÐ°, ÑÑÐ¾ ÑÐ¿Ð¾ÑÐ¾Ð±ÑÑÐ²ÑÐµÑ Ð¿Ð¾Ð²ÑÑÐµÐ½Ð¸Ñ ÑÐ¾ÑÐ½Ð¾ÑÑÐ¸ Ð¸ Ð½Ð°Ð´ÐµÐ¶Ð½Ð¾ÑÑÐ¸ ÑÐ°Ð±Ð¾ÑÑ ÑÑÐ¸Ñ Ð¸Ð½ÑÐµÑÑÐµÐ¹ÑÐ¾Ð². ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¸ÑÑÐ»ÐµÐ´ÑÐµÑ Ð¿ÑÐ¾Ð±Ð»ÐµÐ¼Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸, ÑÐ²ÑÐ·Ð°Ð½Ð½Ð¾Ð¹ Ñ Ð½ÐµÐ¹ÑÐ¾-ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½ÑÐ¼Ð¸ Ð¸Ð½ÑÐµÑÑÐµÐ¹ÑÐ°Ð¼Ð¸. Ð¦ÐµÐ»Ñ ÑÐ°Ð±Ð¾ÑÑ ÑÐ¾ÑÑÐ¾Ð¸Ñ Ð² ÑÐ¾Ð¼, ÑÑÐ¾Ð±Ñ Ð¿ÑÐ°Ð²Ð¸Ð»ÑÐ½Ð¾ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÑÐ¸ÑÐ¾Ð²Ð°ÑÑ Ð´Ð²Ð¸Ð¶ÐµÐ½Ð¸Ñ ÐºÐ¾Ð½ÐµÑÐ½Ð¾ÑÑÐµÐ¹ ÑÐµÐ»Ð¾Ð²ÐµÐºÐ°, Ð° Ð·Ð°ÑÐµÐ¼ ÐºÐ¾Ð½ÑÑÐ¾Ð»Ð¸ÑÐ¾Ð²Ð°ÑÑ Ð½ÑÐ¶Ð½ÑÐµ ÑÑÑÑÐ¾Ð¹ÑÑÐ²Ð° Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ ÑÐºÐ°Ð·Ð°Ð½Ð½Ð¾Ð¹ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸. ÐÐµÑÐ¾Ð´Ñ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ, ÑÐ°ÐºÐ¸Ðµ ÐºÐ°Ðº Ð¼Ð°ÑÐ¸Ð½Ñ Ð¾Ð¿Ð¾ÑÐ½ÑÑ Ð²ÐµÐºÑÐ¾ÑÐ¾Ð², Ð»Ð¸Ð½ÐµÐ¹Ð½Ð°Ñ Ð¸ Ð»Ð¾Ð³Ð¸ÑÑÐ¸ÑÐµÑÐºÐ°Ñ ÑÐµÐ³ÑÐµÑÑÐ¸Ñ Ð¸ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸ Ñ Ð¿ÑÑÐ¼Ð¾Ð¹ ÑÐ²ÑÐ·ÑÑ, ÑÐ½Ð°ÑÐ°Ð»Ð° Ð²Ð¾ÑÐ¿ÑÐ¸Ð½Ð¸Ð¼Ð°ÑÑÑÑ ÑÐ¸Ð³Ð½Ð°Ð»Ð°Ð¼ Ð¼Ð¾Ð·Ð³Ð° Ð¸Ð· Ð´Ð¾ÑÑÑÐ¿Ð½ÑÑ Ð¾Ð½Ð»Ð°Ð¹Ð½Ð¾Ð²ÑÑ Ð±Ð°Ð· Ð´Ð°Ð½Ð½ÑÑ, Ð° Ð·Ð°ÑÐµÐ¼ Ð¿ÑÐ¾Ð²ÐµÑÑÑÑÑÑ Ð½Ð° Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾-Ð°Ð¿Ð¿Ð°ÑÐ°ÑÐ½ÑÑ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸ÑÑ. ÐÐ°ÐºÐ¾Ð½ÐµÑ, Ð¼ÐµÑÐ¾Ð´ Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ ÑÐ²ÐµÑÑÐ¾ÑÐ½Ð¾Ð¹ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÐµÑÑÑ Ð¸ ÑÑÐ°Ð²Ð½Ð¸Ð²Ð°ÐµÑÑÑ Ñ ÑÑÐ°Ð´Ð¸ÑÐ¸Ð¾Ð½Ð½ÑÐ¼Ð¸ ÑÐ¿Ð¾Ð¼ÑÐ½ÑÑÑÐ¼Ð¸ Ð¼ÐµÑÐ¾Ð´Ð°Ð¼Ð¸ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ. Ð ÑÐµÐ»Ð¾Ð¼, ÑÐ¾Ð³Ð»Ð°ÑÐ½Ð¾ Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½ÑÐ¼ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ°Ð¼ Ð² Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÐµ ÑÐºÐ°Ð·ÑÐ²Ð°ÐµÑÑÑ, ÑÑÐ¾ Ð¼ÐµÑÐ¾Ð´Ñ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð²ÑÐµ ÐµÑÐµ Ð°ÐºÑÑÐ°Ð»ÑÐ½Ñ Ð¿Ð¾ ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ñ Ñ Ð¼ÐµÑÐ¾Ð´Ð°Ð¼Ð¸ Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð² Ð¾ÑÐ½Ð¾ÑÐµÐ½Ð¸Ð¸ Ð½ÐµÐ¹ÑÐ¾-ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½ÑÑ Ð¸Ð½ÑÐµÑÑÐµÐ¹ÑÐ¾Ð².
description: Brain computer interfaces and its applications are becoming more popular as the passing years. The research on the topic is vast and it is being entangled with artificial intelligence methods to improve accuracy and reliability of these interfaces. This thesis explores the classification problems related to the brain computer interfaces. The idea is to correctly classify limb movements of a human and then control the desired devices with said classification. The machine learning methods such as support vector machines, linear and logistic regression, and feed forward neural networks are first trained on brain signals from available online databases then secondly tested on software and hardware implementations. Finally, a deep learning method of convolutional neural network is used and compared against traditional said machine learning methods. Overall, the thesis proposes from results that machine learning methods are still viable versus deep learning methods in regards to brain computer interfaces.