Paper Info
Title
A wavelet tool to discriminate imagery versus actual finger movements towards a brain–computer interface
Abstract
The present work explores the spatiotemporal aspects of the event-related 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.
Year
DOI
Venue
2006
10.1007/11946465_29
ISBMDA
Keywords
Field
DocType
wavelet tool,motor execution,beta erd,imagery task,imagery finger,brain potential,rhythmic finger,discriminate imagery,motor imagery,actual finger movement,eeg-based brain computer interface,multiposition brain,brain activation,brain computer interface,high resolution
Computer science,Brain–computer interface,Speech recognition,Stimulus (physiology),Rhythm,Beta Rhythm,Electroencephalography,Morlet wavelet,Wavelet,Motor imagery
Conference
Volume
ISSN
ISBN
4345
0302-9743
3-540-68063-2
Citations 
PageRank 
References 
2
0.41
4
Authors
5
Name
Order
Citations
PageRank
Maria L. Stavrinou1152.00
Liviu Moraru251.17
Polyxeni Pelekouda320.41
Vasileios Kokkinos422032.98
anastasios bezerianos547362.08