A wavelet tool to discriminate imagery versus actual finger movements towards a brain-computer interface

Maria L. Stavrinou; Liviu Moraru; Polyxeni Pelekouda; Vasileios Kokkinos; Anastasios Bezerianos

doi:10.1007/11946465_29

A wavelet tool to discriminate imagery versus actual finger movements towards a brain-computer interface

Maria L. Stavrinou, Liviu Moraru, Polyxeni Pelekouda, Vasileios Kokkinos, Anastasios Bezerianos

School of Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

The present work explores the spatiotemporal aspects of the eventrelated desynchronization (ERD) and synchronization (ERS) during rhythmic finger tapping execution and imagery task. High resolution event related brain potentials were recorded to capture the brain activation underlying the motor execution and motor imagery. ERS and ERD were studied using a complex morlet wavelet decomposition of EEG responses. The results show similar patterns of beta ERD/ERS after the stimulus onset, for both the actual and imagery finger tapping task. This approach and results can be regarded as indicative evidences of a new strategy for recognizing imagined movements in EEG-based brain computer interface research. The long-term objective of this study is to create a multiposition brain controlled switch that is activated by signals that are measured directly from a human's brain.

Original language	English (US)
Title of host publication	Biological and Medical Data Analysis - 7th International Symposium, ISBMDA 2006, Proceedings
Publisher	Springer Verlag
Pages	323-333
Number of pages	11
ISBN (Print)	3540680632, 9783540680635
DOIs	https://doi.org/10.1007/11946465_29
State	Published - 2006
Event	7th International Symposium on Biological and Medical Data Analysis, ISBMDA 2006 - Thessaloniki, Greece Duration: Dec 7 2006 → Dec 8 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4345 LNBI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	7th International Symposium on Biological and Medical Data Analysis, ISBMDA 2006
Country/Territory	Greece
City	Thessaloniki
Period	12/7/06 → 12/8/06

Keywords

Beta rhythm
Brain-computer interface
EEG
Event related synchronization (ERS) -desynchronization (ERD)
Finger-tapping
Imagery
Wavelet

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/11946465_29

Cite this

Stavrinou, M. L., Moraru, L., Pelekouda, P., Kokkinos, V., & Bezerianos, A. (2006). A wavelet tool to discriminate imagery versus actual finger movements towards a brain-computer interface. In Biological and Medical Data Analysis - 7th International Symposium, ISBMDA 2006, Proceedings (pp. 323-333). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4345 LNBI). Springer Verlag. https://doi.org/10.1007/11946465_29

A wavelet tool to discriminate imagery versus actual finger movements towards a brain-computer interface. / Stavrinou, Maria L.; Moraru, Liviu; Pelekouda, Polyxeni et al.

Biological and Medical Data Analysis - 7th International Symposium, ISBMDA 2006, Proceedings. Springer Verlag, 2006. p. 323-333 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4345 LNBI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Stavrinou, ML, Moraru, L, Pelekouda, P, Kokkinos, V & Bezerianos, A 2006, A wavelet tool to discriminate imagery versus actual finger movements towards a brain-computer interface. in Biological and Medical Data Analysis - 7th International Symposium, ISBMDA 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4345 LNBI, Springer Verlag, pp. 323-333, 7th International Symposium on Biological and Medical Data Analysis, ISBMDA 2006, Thessaloniki, Greece, 12/7/06. https://doi.org/10.1007/11946465_29

Stavrinou ML, Moraru L, Pelekouda P, Kokkinos V, Bezerianos A. A wavelet tool to discriminate imagery versus actual finger movements towards a brain-computer interface. In Biological and Medical Data Analysis - 7th International Symposium, ISBMDA 2006, Proceedings. Springer Verlag. 2006. p. 323-333. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11946465_29

Stavrinou, Maria L. ; Moraru, Liviu ; Pelekouda, Polyxeni et al. / A wavelet tool to discriminate imagery versus actual finger movements towards a brain-computer interface. Biological and Medical Data Analysis - 7th International Symposium, ISBMDA 2006, Proceedings. Springer Verlag, 2006. pp. 323-333 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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AB - The present work explores the spatiotemporal aspects of the eventrelated desynchronization (ERD) and synchronization (ERS) during rhythmic finger tapping execution and imagery task. High resolution event related brain potentials were recorded to capture the brain activation underlying the motor execution and motor imagery. ERS and ERD were studied using a complex morlet wavelet decomposition of EEG responses. The results show similar patterns of beta ERD/ERS after the stimulus onset, for both the actual and imagery finger tapping task. This approach and results can be regarded as indicative evidences of a new strategy for recognizing imagined movements in EEG-based brain computer interface research. The long-term objective of this study is to create a multiposition brain controlled switch that is activated by signals that are measured directly from a human's brain.

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A wavelet tool to discriminate imagery versus actual finger movements towards a brain-computer interface

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Keywords

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