Electroencephalogram Analysis Based on Gramian Angular FieldTransformation
Электронный архив ТПУ
Информация об архиве | Просмотр оригинала| Поле | Значение | |
| Заглавие |
Electroencephalogram Analysis Based on Gramian Angular FieldTransformation
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| Автор |
Bragin, Aleksandr Dmitrievich
Spitsyn, Vladimir Grigorievich |
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| Тематика |
электроэнцефалограммы
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| Описание |
This paper addresses the problem of motion imagery classification from electroencephalogram signals which related with manydifficulties such on human state, measurement accuracy, etc. Artificial neural networks are a good tool to solve such kind of problems.Electroencephalogram is time series signals therefore, a Gramian Angular Fields conversion has been applied to convert it into images.GAF conversion was used for classification EEG with Convolutional Neural Network (CNN). GAF images are represented as a Gramianmatrix where each element is the trigonometric sum between different time intervals. Grayscale images were applied for recognition toreduce numbers of neural network parameters and increase calculation speed. Images from each measuring channel were connectedinto one multi-channel image. This article reveals the possible usage GAF conversion of EEG signals to motion imagery recognition,which is beneficial in the applied fields, such as implement it in brain-computer interface
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| Дата |
2020-01-10T08:52:32Z
2020-01-10T08:52:32Z 2019 |
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| Тип |
Article
Published version (info:eu-repo/semantics/publishedVersion) Journal article (info:eu-repo/semantics/article) |
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| Идентификатор |
Bragin A. D. Electroencephalogram Analysis Based on Gramian Angular FieldTransformation / A. D. Bragin, V. G. Spitsyn // CEUR Workshop Proceedings. — 2019. — Vol. 2485 : GraphiCon 2019. Computer Graphics and Vision. — [P. 273-275].
http://earchive.tpu.ru/handle/11683/57268 10.30987/graphicon-2019-2-273-275 |
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| Язык |
en
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| Права |
Open access (info:eu-repo/semantics/openAccess)
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| Формат |
application/pdf
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| Издатель |
Томский политехнический университет
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| Источник |
CEUR Workshop Proceedings
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