Motor Tasks Classification Using Phase Locking Value in a BCI Based EEG Paradigm

Brain-computer interface (BCI) is developing very quickly with applications extending to medical and non-medical fields. Electroencephalography (EEG) is used in BCI to detect and analyze brain signals. An approach based on phase synchronization was tested on two datasets (one with EEG signals record...

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Main Author: Oana-Diana Hrisca-Eva
Format: Article
Language:English
Published: Romanian Association of Balneology, Editura Balneara 2025-12-01
Series:Balneo and PRM Research Journal
Subjects:
Online Access:http://bioclima.ro/Balneo760.pdf
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author Oana-Diana Hrisca-Eva
author_facet Oana-Diana Hrisca-Eva
author_sort Oana-Diana Hrisca-Eva
collection DOAJ
description Brain-computer interface (BCI) is developing very quickly with applications extending to medical and non-medical fields. Electroencephalography (EEG) is used in BCI to detect and analyze brain signals. An approach based on phase synchronization was tested on two datasets (one with EEG signals recorded from 15 healthy subjects and one with EEG signals recorded from 9 subjects with disabilities). Phase locking value was tested as feature extraction method from EEG signals. k-nearest neighbor (KNN) and support vector machine (SVM) classifiers were applied for discrimination between tasks (right hand motor imagery, left hand motor imagery and feet motor imagery). Classification rates above 81% obtained with kNN and 92% achieved with SVM indicate that phase synchronization based method can be exploited in developing BCI systems for controlling and assisting people with upper and lower limb disabilities
format Article
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institution Kabale University
issn 2734-8458
language English
publishDate 2025-12-01
publisher Romanian Association of Balneology, Editura Balneara
record_format Article
series Balneo and PRM Research Journal
spelling doaj-art-1ad0bf35f5044baea669244d5d92857b2025-01-13T16:35:53ZengRomanian Association of Balneology, Editura BalnearaBalneo and PRM Research Journal2734-84582025-12-0115476010.12680/balneo.2024.760Motor Tasks Classification Using Phase Locking Value in a BCI Based EEG ParadigmOana-Diana Hrisca-Eva0Department of Biomedical Sciences, Faculty of Medical Bioengineering, University of Medicine and Pharmacy “Grigore T. Popa” Iasi, 700454 Iași, RomâniaBrain-computer interface (BCI) is developing very quickly with applications extending to medical and non-medical fields. Electroencephalography (EEG) is used in BCI to detect and analyze brain signals. An approach based on phase synchronization was tested on two datasets (one with EEG signals recorded from 15 healthy subjects and one with EEG signals recorded from 9 subjects with disabilities). Phase locking value was tested as feature extraction method from EEG signals. k-nearest neighbor (KNN) and support vector machine (SVM) classifiers were applied for discrimination between tasks (right hand motor imagery, left hand motor imagery and feet motor imagery). Classification rates above 81% obtained with kNN and 92% achieved with SVM indicate that phase synchronization based method can be exploited in developing BCI systems for controlling and assisting people with upper and lower limb disabilitieshttp://bioclima.ro/Balneo760.pdfbrain computer interfacephase synchronizationupper and lower limb disabilities
spellingShingle Oana-Diana Hrisca-Eva
Motor Tasks Classification Using Phase Locking Value in a BCI Based EEG Paradigm
Balneo and PRM Research Journal
brain computer interface
phase synchronization
upper and lower limb disabilities
title Motor Tasks Classification Using Phase Locking Value in a BCI Based EEG Paradigm
title_full Motor Tasks Classification Using Phase Locking Value in a BCI Based EEG Paradigm
title_fullStr Motor Tasks Classification Using Phase Locking Value in a BCI Based EEG Paradigm
title_full_unstemmed Motor Tasks Classification Using Phase Locking Value in a BCI Based EEG Paradigm
title_short Motor Tasks Classification Using Phase Locking Value in a BCI Based EEG Paradigm
title_sort motor tasks classification using phase locking value in a bci based eeg paradigm
topic brain computer interface
phase synchronization
upper and lower limb disabilities
url http://bioclima.ro/Balneo760.pdf
work_keys_str_mv AT oanadianahriscaeva motortasksclassificationusingphaselockingvalueinabcibasedeegparadigm