A Comparison of Non-negative Tucker Decomposition and Parallel Factor Analysis for Identification and Measurement of Human EEG Rhythms Cover

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A Comparison of Non-negative Tucker Decomposition and Parallel Factor Analysis for Identification and Measurement of Human EEG Rhythms

Measurement Science Review

Volume 20 (2020): Issue 3 (June 2020)

By: Zuzana Rošt’áková, Roman Rosipal, Saman Seifpour and Leonardo Jose Trejo

Open Access

|Jul 2020

Authors

Zuzana Rošt’áková

zuzana.rostakova@savba.sk

Department of Theoretical Methods, Institute of Measurement Science, Slovak Academy of Sciences, Bratislava, Slovakia

Roman Rosipal

Department of Theoretical Methods, Institute of Measurement Science, Slovak Academy of Sciences, Bratislava, Slovakia

Pacific Development and Technology

Saman Seifpour

Department of Theoretical Methods, Institute of Measurement Science, Slovak Academy of Sciences, Bratislava, Slovakia

Leonardo Jose Trejo

Pacific Development and Technology

DOI: https://doi.org/10.2478/msr-2020-0015 | Journal eISSN: 1335-8871

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Language: English

Page range: 126 - 138

Submitted on: Jan 13, 2020

Accepted on: Jun 16, 2020

Published on: Jul 24, 2020

Published by: Slovak Academy of Sciences, Institute of Measurement Science

In partnership with: Paradigm Publishing Services

Publication frequency: Volume open

Keywords:

multichannel electroencephalogram,

sensorimotor oscillatory brain activity,

parallel factor analysis,

Related subjects:

Electrical engineering,

Control engineering, metrology and testing

© 2020 Zuzana Rošt’áková, Roman Rosipal, Saman Seifpour, Leonardo Jose Trejo, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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