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

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	Image Reconstruction from Incomplete Data VII
DOIs	https://doi.org/10.1117/12.930279
State	Published - 2012
Event	Image Reconstruction from Incomplete Data VII - San Diego, CA, United States Duration: Aug 14 2012 → Aug 15 2012

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	8500
ISSN (Print)	0277-786X

Other

Other	Image Reconstruction from Incomplete Data VII
Country/Territory	United States
City	San Diego, CA
Period	8/14/12 → 8/15/12

Keywords

Correlation analysis
Electroencephalogram
Epilepsy
Joint time-frequency transforms
Matching pursuit
Short time fourier transform
Wavelet analysis
Working memory

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Access to Document

10.1117/12.930279

Cite this

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

Joint time-frequency analysis of EEG signals based on a phase-space interpretation of the recording process. / Testorf, M. E.; Jobst, B. C.; Kleen, J. K. et al.
Image Reconstruction from Incomplete Data VII. 2012. 850008 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8500).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Testorf, ME, Jobst, BC, Kleen, JK, Titiz, A, Guillory, S, Scott, R, Bujarski, KA, Roberts, DW, Holmes, GL & Lenck-Santini, PP 2012, Joint time-frequency analysis of EEG signals based on a phase-space interpretation of the recording process. in Image Reconstruction from Incomplete Data VII., 850008, Proceedings of SPIE - The International Society for Optical Engineering, vol. 8500, Image Reconstruction from Incomplete Data VII, San Diego, CA, United States, 8/14/12. https://doi.org/10.1117/12.930279

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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.",

keywords = "Correlation analysis, Electroencephalogram, Epilepsy, Joint time-frequency transforms, Matching pursuit, Short time fourier transform, Wavelet analysis, Working memory",

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AU - Guillory, S.

AU - Scott, R.

AU - Bujarski, K. A.

AU - Roberts, D. W.

AU - Holmes, G. L.

AU - Lenck-Santini, P. P.

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

Abstract

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Keywords

ASJC Scopus subject areas

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