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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages323-333
Number of pages11
Volume4345 LNBI
StatePublished - 2006
Externally publishedYes
Event7th International Symposium on Biological and Medical Data Analysis, ISBMDA 2006 - Thessaloniki, Greece
Duration: Dec 7 2006Dec 8 2006

Other

Other7th International Symposium on Biological and Medical Data Analysis, ISBMDA 2006
CountryGreece
CityThessaloniki
Period12/7/0612/8/06

Fingerprint

Brain-Computer Interfaces
Brain computer interface
Imagery (Psychotherapy)
Fingers
Brain
Wavelets
Desynchronization
Synchronization
Electroencephalography
Wavelet decomposition
Evoked Potentials
Wavelet Decomposition
Chemical activation
Switches
Activation
Switch
High Resolution
Imagery
Movement
Research

Keywords

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

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4345 LNBI, pp. 323-333)

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

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4345 LNBI 2006. p. 323-333.

Research output: Chapter in Book/Report/Conference proceedingConference 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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 4345 LNBI, pp. 323-333, 7th International Symposium on Biological and Medical Data Analysis, ISBMDA 2006, Thessaloniki, Greece, 12/7/06.
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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4345 LNBI. 2006. p. 323-333
Stavrinou, Maria L. ; Moraru, Liviu ; Pelekouda, Polyxeni ; Kokkinos, Vasileios ; Bezerianos, Anastasios. / A wavelet tool to discriminate imagery versus actual finger movements towards a brain-computer interface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4345 LNBI 2006. pp. 323-333
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