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.
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Item type: Book ID code: 8376 Dates: DateEventDecember 2005PublishedSubjects: 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: 08 Apr 2024 14:29 URI: https://strathprints.strath.ac.uk/id/eprint/8376