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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, 5 . ICGST, Cairo, Egypt, pp. 124-127. 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.

    Item type: Book
    ID code: 8376
    Keywords: eeg data, brain computer interfaces, wrist movements, machine learning, Bioengineering
    Subjects: Technology > Engineering (General). Civil engineering (General) > Bioengineering
    Department: Faculty of Engineering > Bioengineering
    Related URLs:
      Depositing user: Strathprints Administrator
      Date Deposited: 03 Sep 2009 15:17
      Last modified: 06 Oct 2012 08:04
      URI: http://strathprints.strath.ac.uk/id/eprint/8376

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