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 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 323-333 |
| Number of pages | 11 |
| Volume | 4345 LNBI |
| State | Published - 2006 |
| Externally published | Yes |
| Event | 7th International Symposium on Biological and Medical Data Analysis, ISBMDA 2006 - Thessaloniki, Greece Duration: Dec 7 2006 → Dec 8 2006 |
Other
| Other | 7th International Symposium on Biological and Medical Data Analysis, ISBMDA 2006 |
|---|---|
| Country | Greece |
| City | Thessaloniki |
| Period | 12/7/06 → 12/8/06 |
Fingerprint
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
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 proceeding › Conference contribution
}
TY - GEN
T1 - A wavelet tool to discriminate imagery versus actual finger movements towards a brain-computer interface
AU - Stavrinou, Maria L.
AU - Moraru, Liviu
AU - Pelekouda, Polyxeni
AU - Kokkinos, Vasileios
AU - Bezerianos, Anastasios
PY - 2006
Y1 - 2006
N2 - 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.
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.
KW - Beta rhythm
KW - Brain-computer interface
KW - EEG
KW - Event related synchronization (ERS) -desynchronization (ERD)
KW - Finger-tapping
KW - Imagery
KW - Wavelet
UR - http://www.scopus.com/inward/record.url?scp=34547444618&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34547444618&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:34547444618
SN - 3540680632
SN - 9783540680635
VL - 4345 LNBI
SP - 323
EP - 333
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -