title: Ð£Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ðµ Ð¿ÑÐ¾ÑÐ¾ÑÐ¸Ð¿Ð° Ð¿ÑÐ¾ÑÐµÐ·Ð° ÐºÐ¸ÑÑÐ¸ ÑÑÐºÐ¸ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð¸Ð½ÑÐµÑÑÐµÐ¹ÑÐ° "Ð¼Ð¾Ð·Ð³-ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑ"
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: Brain-computer interface-based control system for a prototype of palm prosthesis
Creators: name: ÐÐ°Ð¿ÑÐ°Ð»Ð¾Ð², ÐÐ¸ÐºÐ¾Ð»Ð°Ð¹
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ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¸Ðµ Ð¿ÑÐ¸Ð±Ð¾ÑÑ, Ð°Ð¿Ð¿Ð°ÑÐ°ÑÑ Ð¸ Ð¸Ð½ÑÑÑÑÐ¼ÐµÐ½ÑÑ
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description: Ð Ð°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ñ ÑÐ¸ÑÑÐµÐ¼Ñ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð¿ÑÐ¾ÑÐ¾ÑÐ¸Ð¿Ð¾Ð¼ Ð¿ÑÐ¾ÑÐµÐ·Ð° ÐºÐ¸ÑÑÐ¸ ÑÑÐºÐ¸ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð¸Ð½ÑÐµÑÑÐµÐ¹ÑÐ° Â«Ð¼Ð¾Ð·Ð³-ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÂ». Ð£Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ðµ Ð¿ÑÐ¾ÑÐµÐ·Ð¾Ð¼ Ð¾ÑÑÑÐµÑÑÐ²Ð»ÑÐµÑÑÑ Ð¿ÑÑÐµÐ¼ Ð²Ð¾Ð¾Ð±ÑÐ°Ð¶Ð°ÐµÐ¼Ð¾Ð³Ð¾ ÑÐ¶Ð°ÑÐ¸Ñ ÐºÐ¸ÑÑÐµÐ¹ Ð»ÐµÐ²Ð¾Ð¹ Ð¸Ð»Ð¸ Ð¿ÑÐ°Ð²Ð¾Ð¹ ÑÑÐºÐ¸. ÐÐ½ÑÐµÑÑÐµÐ¹Ñ Â«Ð¼Ð¾Ð·Ð³-ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÂ» ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°ÐµÑ ÑÐ¸Ð¿ ÑÐ¾Ð²ÐµÑÑÐµÐ½Ð½Ð¾Ð³Ð¾ Ð²Ð¾Ð¾Ð±ÑÐ°Ð¶Ð°ÐµÐ¼Ð¾Ð³Ð¾ Ð´Ð²Ð¸Ð¶ÐµÐ½Ð¸Ñ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð² Ð­Ð­Ð Ð¸ Ð¿ÑÐ¸Ð²Ð¾Ð´Ð¸Ñ Ð² Ð´Ð²Ð¸Ð¶ÐµÐ½Ð¸Ðµ Ð¿ÑÐ¾ÑÐ¾ÑÐ¸Ð¿ Ð¿ÑÐ¾ÑÐµÐ·Ð° Ð² ÑÐ¾Ð¾ÑÐ²ÐµÑÑÑÐ²Ð¸Ð¸ Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð½Ð½ÑÐ¼ Ð´Ð²Ð¸Ð¶ÐµÐ½Ð¸ÐµÐ¼. ÐÐ»Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð¿Ð°ÑÑÐµÑÐ½Ð¾Ð² Ð­Ð­Ð, ÑÐ¾Ð¾ÑÐ²ÐµÑÑÑÐ²ÑÑÑÐ¸Ñ Ð²Ð¾Ð¾Ð±ÑÐ°Ð¶Ð°ÐµÐ¼ÑÐ¼ Ð´Ð²Ð¸Ð¶ÐµÐ½Ð¸ÑÐ¼, Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÑÑÑÑ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¾Ñ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ ÐºÐ¾Ð½ÑÐµÐ¿ÑÐ¸Ð¸ ÑÐ¸Ð¼Ð°Ð½Ð¾Ð²Ð¾Ð¹ Ð³ÐµÐ¾Ð¼ÐµÑÑÐ¸Ð¸, Ð° ÑÐ°ÐºÐ¶Ðµ ÑÐ²ÐµÑÑÐ¾ÑÐ½Ð°Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ. ÐÑÐ¸ Ð¾ÑÑÐ»Ð°Ð¹Ð½ ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ð¸ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð½Ð° Ð´Ð°Ð½Ð½ÑÑ BCI Competition IV Ð±ÑÐ»Ð° Ð¿Ð¾Ð»ÑÑÐµÐ½Ð° ÑÑÐµÐ´Ð½ÑÑ ÑÐ¾ÑÐ½Ð¾ÑÑÑ 75 Â± 9 %, Ð¿ÑÐ¸ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ð¸ Ð·Ð°Ð¿Ð¸ÑÐ°Ð½Ð½ÑÑ Ð² ÑÐ¾Ð´Ðµ ÑÐºÑÐ¿ÐµÑÐ¸Ð¼ÐµÐ½ÑÐ¾Ð² Ð´Ð°Ð½Ð½ÑÑ Ñ 5 Ð¸ÑÐ¿ÑÑÑÐµÐ¼ÑÑ ÑÑÐµÐ´Ð½ÑÑ ÑÐ¾ÑÐ½Ð¾ÑÑÑ ÑÐ¾ÑÑÐ°Ð²Ð¸Ð»Ð° 68 Â± 8 %. ÐÐ½Ð»Ð°Ð¹Ð½ ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð¿Ð¾ÐºÐ°Ð·Ð°Ð»Ð¾ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð¾ÑÑÑ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ñ Ð² ÑÐµÐ¶Ð¸Ð¼Ðµ ÑÐµÐ°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð²ÑÐµÐ¼ÐµÐ½Ð¸, ÑÐ°ÐºÐ¶Ðµ Ð±ÑÐ» Ð¿ÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½ ÑÐ¿Ð¾ÑÐ¾Ð± ÑÐ»ÑÑÑÐµÐ½Ð¸Ñ ÑÐ¾ÑÐ½Ð¾ÑÑÐ¸ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð·Ð° ÑÑÑÑ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ñ Ð½ÐµÑÐºÐ¾Ð»ÑÐºÐ¸Ñ ÑÑÐ¿ÐµÑÐ½ÑÑ Ð¿Ð¾Ð¿ÑÑÐ¾Ðº Ð²Ð¾Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ñ Ð´Ð²Ð¸Ð¶ÐµÐ½Ð¸Ð¹. ÐÐ¾Ð´Ð¾Ð±Ð½ÑÐ¹ Ð¿Ð¾Ð´ÑÐ¾Ð´ Ð¿Ð¾Ð·Ð²Ð¾Ð»Ð¸Ð» ÑÐ»ÑÑÑÐ¸ÑÑ ÑÐ¾ÑÐ½Ð¾ÑÑÑ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð²Ð¿Ð»Ð¾ÑÑ Ð´Ð¾ 10 %.
description: The control system for a prototype prosthetic hand based on the brain-computer interface is created. Imaginary movements of the left or right hand control the prosthesis. The brain-computer interface recognizes the type of the imaginary movement based on EEG signals and launches prosthesisâs grasp action in accordance with the recognized movement. A Riemannian-based classifier and a convolutional neural network were used to distinguish EEG patterns corresponding to imaginary movements. With offline testing of methods on BCI Competition IV data, an average accuracy of 75 Â± 9 % was obtained. While using experimental data from 5 subjects, the average accuracy was 68 Â± 8%. Online testing has shown that the system can be used in real time, and a method has been proposed to improve the accuracy of control by using several successful attempts of movements imagining. This approach has improved the control accuracy up to 10%.