ECoG Eigenvalues Analysis for Motor Activity Detection

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Title	ECoG Eigenvalues Analysis for Motor Activity Detection
Authors	Yanenko, M. Popov, A.
ORCID
Keywords	електрокортикограма электрокортикограмма ECoG рух пальців движение пальцев finger movements основний компонент аналізу основной компонент анализа PCA рухова активність двигательная активность motor activity
Type	Conference Papers
Date of Issue	2016
URI	http://essuir.sumdu.edu.ua/handle/123456789/47108
Publisher	Sumy State University
License	Copyright not evaluated
Citation	Yanenko, M. ECoG Eigenvalues Analysis for Motor Activity Detection [Текст] / M. Yanenko, A. Popov // Advanced Information Systems and Technologies: proceedings of the IV international scientific conference, May 25-27, 2016 / Ред.кол.: С.І. Проценко, В.В. Шендрик, С.М. Ващенко. – Sumy: Sumy State University, 2016. – С. 106-107. – Мова оригіналу - українська.
Abstract	In this publication the results of Principal Component Analysis (PCA) of finger movements electrocorticography (ECoG) are presented. Eigenvalues configuration was analyzed for ECoG with and without any motor activity. PCA components of ECoG can be separated into motor activity and background parts, enabling spatial localization of motor activity areas in future.
Appears in Collections:	Наукові видання (ЕлІТ)