Joint time-frequency analysis of EEG signals based on a phase-space interpretation of the recording process

M. E. Testorf; B. C. Jobst; J. K. Kleen; A. Titiz; S. Guillory; R. Scott; K. A. Bujarski; D. W. Roberts; G. L. Holmes; P.-P. Lenck-Santini

doi:10.1117/12.930279

15 October 2012 Joint time-frequency analysis of EEG signals based on a phase-space interpretation of the recording process

M. E. Testorf, B. C. Jobst, J. K. Kleen, A. Titiz, S. Guillory, R. Scott, K. A. Bujarski, D. W. Roberts, G. L. Holmes, P.-P. Lenck-Santini

Author Affiliations +

Proceedings Volume 8500, Image Reconstruction from Incomplete Data VII; 850008 (2012) https://doi.org/10.1117/12.930279
Event: SPIE Optical Engineering + Applications, 2012, San Diego, California, United States

Abstract

Time-frequency transforms are used to identify events in clinical EEG data. Data are recorded as part of a study for correlating the performance of human subjects during a memory task with pathological events in the EEG, called spikes. The spectrogram and the scalogram are reviewed as tools for evaluating spike activity. A statistical evaluation of the continuous wavelet transform across trials is used to quantify phase-locking events. For simultaneously improving the time and frequency resolution, and for representing the EEG of several channels or trials in a single time-frequency plane, a multichannel matching pursuit algorithm is used. Fundamental properties of the algorithm are discussed as well as preliminary results, which were obtained with clinical EEG data.

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M. E. Testorf, B. C. Jobst, J. K. Kleen, A. Titiz, S. Guillory, R. Scott, K. A. Bujarski, D. W. Roberts, G. L. Holmes, and P.-P. Lenck-Santini "Joint time-frequency analysis of EEG signals based on a phase-space interpretation of the recording process", Proc. SPIE 8500, Image Reconstruction from Incomplete Data VII, 850008 (15 October 2012); https://doi.org/10.1117/12.930279

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