@inproceedings{aa66324aad9a417c8fdbcc45671ad160,
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 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.",
keywords = "Beta rhythm, Brain-computer interface, EEG, Event related synchronization (ERS) -desynchronization (ERD), Finger-tapping, Imagery, Wavelet",
author = "Stavrinou, {Maria L.} and Liviu Moraru and Polyxeni Pelekouda and Vasileios Kokkinos and Anastasios Bezerianos",
note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 7th International Symposium on Biological and Medical Data Analysis, ISBMDA 2006 ; Conference date: 07-12-2006 Through 08-12-2006",
year = "2006",
doi = "10.1007/11946465_29",
language = "English (US)",
isbn = "3540680632",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "323--333",
booktitle = "Biological and Medical Data Analysis - 7th International Symposium, ISBMDA 2006, Proceedings",
}