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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Format: | Article |
Language: | English |
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Romanian Association of Balneology, Editura Balneara
2025-12-01
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Series: | Balneo and PRM Research Journal |
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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 |
id | doaj-art-1ad0bf35f5044baea669244d5d92857b |
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 |