Comparing EEG patterns of actual and imaginary wrist movements - a machine learning approach

Lakany, H. and Conway, B.A. (2005) Comparing EEG patterns of actual and imaginary wrist movements - a machine learning approach. Proceedings of the first ICGST International Conference on Artificial Intelligence and Machine Learning AIML 05 . ICGST, Cairo, Egypt. ISBN 21968/2005

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    Abstract

    Our goal is to develop an algorithm for feature extraction and classification to be used in building brain-computer interfaces. In this paper, we present preliminary results for classifying EEG data of imaginary wrist movements. We have developed an algorithm based on the spatio-temporal features of the recorded EEG signals. We discuss the differences between the feature vectors selected for both actual and imaginary wrist movements and compare classification results.

    Creators(s): Lakany, H. ORCID logoORCID: https://orcid.org/0000-0003-3079-0392 and Conway, B.A. ORCID logoORCID: https://orcid.org/0000-0002-0069-0131;
    Item type:Book
    ID code:8376
    Keywords:eeg data, brain computer interfaces, wrist movements, machine learning, Bioengineering, Biotechnology
    Subjects:Technology > Engineering (General). Civil engineering (General) > Bioengineering
    Department:Faculty of Engineering > Bioengineering
    Depositing user: Strathprints Administrator
    Date deposited:03 Sep 2009 14:17
    Last modified:11 Feb 2021 10:44
    URI:https://strathprints.strath.ac.uk/id/eprint/8376
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