Classification of Hand Movement in EEG using ERD/ERS and Multilayer Perceptron

Pavel Mochura; Pavel Mautner

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Classification of Hand Movement in EEG using ERD/ERS and Multilayer Perceptron

Topics: Cognitive Informatics; Data Mining and Data Analysis; Ehealth; Medical Informatics

In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: BIOSTEC, 713-717, 2020 , Valletta, Malta

Authors: Pavel Mochura and Pavel Mautner

Affiliation: Department of Computer Science and Enginnering, University of West Bohemia, 22 Univerzitní, Pilsen, Czech Republic

Keyword(s): Electroencephalography, ERD/ERS, Neural Network, EEG Signal Classification, Feature Vectors.

Abstract: Continuous EEG activity in the measured subjects includes different patterns depending on what activity the subject performed. ERD and ERS are examples of such patterns related to movement, for example of a hand, finger or foot. This article deals with the detection of motion based on the ERD/ERS patterns. By linking ERD/ERS, feature vectors which are later classified by neural network are created. The resulting neural network consists of one input and one output layer and two hidden layers. The first hidden layer contains 3,000 neurons and the second one 1,500 neurons. A training set of feature vectors is used for the training of this neural network and the back-propagation algorithm is used for the subsequent adjustment of the weights. With this setting and training, the neural network is able to classify motion in an EEG record with an average accuracy of 79.92%.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 3.17.166.157

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Mochura, P. and Mautner, P. (2020). Classification of Hand Movement in EEG using ERD/ERS and Multilayer Perceptron. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - HEALTHINF; ISBN 978-989-758-398-8; ISSN 2184-4305, SciTePress, pages 713-717. DOI: 10.5220/0009167007130717

@conference{healthinf20,
author={Pavel Mochura. and Pavel Mautner.},
title={Classification of Hand Movement in EEG using ERD/ERS and Multilayer Perceptron},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - HEALTHINF},
year={2020},
pages={713-717},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009167007130717},
isbn={978-989-758-398-8},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - HEALTHINF
TI - Classification of Hand Movement in EEG using ERD/ERS and Multilayer Perceptron
SN - 978-989-758-398-8
IS - 2184-4305
AU - Mochura, P.
AU - Mautner, P.
PY - 2020
SP - 713
EP - 717
DO - 10.5220/0009167007130717
PB - SciTePress