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Detection of seizure precursors from depth-EEG using a sign periodogram transform | IEEE Journals & Magazine | IEEE Xplore

Detection of seizure precursors from depth-EEG using a sign periodogram transform


Abstract:

Brief bursts of focal, low amplitude rhythmic activity have been observed on depth electroencephalogram (EEG) in the minutes before electrographic onset of seizures in hu...Show More

Abstract:

Brief bursts of focal, low amplitude rhythmic activity have been observed on depth electroencephalogram (EEG) in the minutes before electrographic onset of seizures in human mesial temporal lobe epilepsy. We have found these periods to contain discrete, individualized synchronized activity in patient-specific frequency bands ranging from 20 to 40 Hz. We present a method for detecting and displaying these events using a periodogram of the sign-limited temporal derivative of the EEG signal, denoted joint sign periodogram event characterization transform (JSPECT). When applied to continuous 2-6 day depth-EEG recordings from ten patients with temporal lobe epilepsy, JSPECT demonstrated that these patient-specific EEG events reliably occurred 5-80 s prior to electrical onset of seizures in five patients with focal, unilateral seizure onsets. JSPECT did not reveal this type of activity prior to seizures in five other patients with bilateral, extratemporal or more diffuse seizure onsets on EEG. Patient-specific, localized rhythmic events may play an important role in seizure generation in temporal lobe epilepsy. The JSPECT method efficiently detects these events, and may be useful as part of an automated system for predicting electrical seizure onset in appropriate patients.
Published in: IEEE Transactions on Biomedical Engineering ( Volume: 50, Issue: 4, April 2003)
Page(s): 449 - 458
Date of Publication: 30 April 2003

ISSN Information:

PubMed ID: 12723056
Author image of J.J. Niederhauser
Department of Electrical Engineering, Swiss Federal Institute of Technology, Zurich, Switzerland
Joël J. Niederhauser was born in Basel, Switzerland, in 1976. He received the M.S. degree in electrical engineering from the Swiss Federal Institute of Technology, Zürich, Switzerland, in 2001.
His current research interests include epileptic EEG and optoacoustic medical imaging.
Joël J. Niederhauser was born in Basel, Switzerland, in 1976. He received the M.S. degree in electrical engineering from the Swiss Federal Institute of Technology, Zürich, Switzerland, in 2001.
His current research interests include epileptic EEG and optoacoustic medical imaging.View more
Author image of R. Esteller
Universidad Simón Bolívar, Caracas, Venezuela
Rosana Esteller (s'98–M'00) received the B.S.E.E. and M.S.E.E. degrees from the Simón Bolívar University, Caracas, Venezuela, in 1986 and 1994, respectively, and the Ph.D. degree in electrical engineering from Georgia Institute of Technology, Atlanta, in 2000.
Currently, she works as a Research Scientist at NeuroPace, Inc. in Sunnyvale, CA, developing an implantable device to treat epilepsy and other disorders. Her researc...Show More
Rosana Esteller (s'98–M'00) received the B.S.E.E. and M.S.E.E. degrees from the Simón Bolívar University, Caracas, Venezuela, in 1986 and 1994, respectively, and the Ph.D. degree in electrical engineering from Georgia Institute of Technology, Atlanta, in 2000.
Currently, she works as a Research Scientist at NeuroPace, Inc. in Sunnyvale, CA, developing an implantable device to treat epilepsy and other disorders. Her researc...View more
Javier Echauz was born in San Juan, Puerto Rico. He received the B.S.E.E. degree from the University of Puerto Rico - Mayagüez (UPRM) in 1988. He received the M.S.E.E. and Ph.D. degrees in 1989 and 1995 from Georgia Institute of Technology, Atlanta, in 1989 and 1995, respectively.
He was an Associate Professor and Associate Director of the Electrical and Computer Engineering Department at UPRM, before joining IntelliMedix,...Show More
Javier Echauz was born in San Juan, Puerto Rico. He received the B.S.E.E. degree from the University of Puerto Rico - Mayagüez (UPRM) in 1988. He received the M.S.E.E. and Ph.D. degrees in 1989 and 1995 from Georgia Institute of Technology, Atlanta, in 1989 and 1995, respectively.
He was an Associate Professor and Associate Director of the Electrical and Computer Engineering Department at UPRM, before joining IntelliMedix,...View more
Author image of G. Vachtsevanos
Intelligent Control Systems Laboratory, Georgia Institute of Technology, Atlanta, GA, USA
George Vachtsevanos (s'62–M'63–SM'89) received the B.E.E. degree from the City College of New York, New York, NY, the M.E.E. degree from New York University, New York, NY, and the Ph.D. degree in electrical engineering from the City University of New York, New York, NY.
He is currently a Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology, Atlanta, where he directs the Inte...Show More
George Vachtsevanos (s'62–M'63–SM'89) received the B.E.E. degree from the City College of New York, New York, NY, the M.E.E. degree from New York University, New York, NY, and the Ph.D. degree in electrical engineering from the City University of New York, New York, NY.
He is currently a Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology, Atlanta, where he directs the Inte...View more
Author image of B. Litt
Departments of Neurology and Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
Brian Litt (A'88–s'89–M'91) received the A.B. degree in engineering and applied science from Harvard University, Cambridge, MA, in 1982 and the M.D. degree from Johns Hopkins University, Baltimore, MD, in 1986.
He did a residency in neurology at Johns Hopkins University from 1988–1991. He was a member of the neurology faculty at Johns Hopkins Hospital from 1991–1996 and of the Neurology/Biomedical engineering faculty at Em...Show More
Brian Litt (A'88–s'89–M'91) received the A.B. degree in engineering and applied science from Harvard University, Cambridge, MA, in 1982 and the M.D. degree from Johns Hopkins University, Baltimore, MD, in 1986.
He did a residency in neurology at Johns Hopkins University from 1988–1991. He was a member of the neurology faculty at Johns Hopkins Hospital from 1991–1996 and of the Neurology/Biomedical engineering faculty at Em...View more

I. Nomenclature

Discrete time axis.

Author image of J.J. Niederhauser
Department of Electrical Engineering, Swiss Federal Institute of Technology, Zurich, Switzerland
Joël J. Niederhauser was born in Basel, Switzerland, in 1976. He received the M.S. degree in electrical engineering from the Swiss Federal Institute of Technology, Zürich, Switzerland, in 2001.
His current research interests include epileptic EEG and optoacoustic medical imaging.
Joël J. Niederhauser was born in Basel, Switzerland, in 1976. He received the M.S. degree in electrical engineering from the Swiss Federal Institute of Technology, Zürich, Switzerland, in 2001.
His current research interests include epileptic EEG and optoacoustic medical imaging.View more
Author image of R. Esteller
Universidad Simón Bolívar, Caracas, Venezuela
Rosana Esteller (s'98–M'00) received the B.S.E.E. and M.S.E.E. degrees from the Simón Bolívar University, Caracas, Venezuela, in 1986 and 1994, respectively, and the Ph.D. degree in electrical engineering from Georgia Institute of Technology, Atlanta, in 2000.
Currently, she works as a Research Scientist at NeuroPace, Inc. in Sunnyvale, CA, developing an implantable device to treat epilepsy and other disorders. Her research interests are in applications of signal processing techniques from linear and nonlinear dynamics for detection, prediction, classification, pattern recognition, modeling, and estimation of signals and systems. Her special interest in applications to biomedical signals has been centered on intracranial EEG signals from epileptic patients since 1997. She has over 25 journal and conference articles published and has five PCT patents filed. She is a member of Sigma Xi.
Rosana Esteller (s'98–M'00) received the B.S.E.E. and M.S.E.E. degrees from the Simón Bolívar University, Caracas, Venezuela, in 1986 and 1994, respectively, and the Ph.D. degree in electrical engineering from Georgia Institute of Technology, Atlanta, in 2000.
Currently, she works as a Research Scientist at NeuroPace, Inc. in Sunnyvale, CA, developing an implantable device to treat epilepsy and other disorders. Her research interests are in applications of signal processing techniques from linear and nonlinear dynamics for detection, prediction, classification, pattern recognition, modeling, and estimation of signals and systems. Her special interest in applications to biomedical signals has been centered on intracranial EEG signals from epileptic patients since 1997. She has over 25 journal and conference articles published and has five PCT patents filed. She is a member of Sigma Xi.View more
Javier Echauz was born in San Juan, Puerto Rico. He received the B.S.E.E. degree from the University of Puerto Rico - Mayagüez (UPRM) in 1988. He received the M.S.E.E. and Ph.D. degrees in 1989 and 1995 from Georgia Institute of Technology, Atlanta, in 1989 and 1995, respectively.
He was an Associate Professor and Associate Director of the Electrical and Computer Engineering Department at UPRM, before joining IntelliMedix, Inc., Atlanta, GA, as Bioengineering Research Scientist and NeuroPace, Inc., Sunnyvale, CA, as Senior Research Scientist. He has been involved in quantitative EEG analysis and research for the past 11 years. His current research interests center around intelligent devices for epilepsy.
Javier Echauz was born in San Juan, Puerto Rico. He received the B.S.E.E. degree from the University of Puerto Rico - Mayagüez (UPRM) in 1988. He received the M.S.E.E. and Ph.D. degrees in 1989 and 1995 from Georgia Institute of Technology, Atlanta, in 1989 and 1995, respectively.
He was an Associate Professor and Associate Director of the Electrical and Computer Engineering Department at UPRM, before joining IntelliMedix, Inc., Atlanta, GA, as Bioengineering Research Scientist and NeuroPace, Inc., Sunnyvale, CA, as Senior Research Scientist. He has been involved in quantitative EEG analysis and research for the past 11 years. His current research interests center around intelligent devices for epilepsy.View more
Author image of G. Vachtsevanos
Intelligent Control Systems Laboratory, Georgia Institute of Technology, Atlanta, GA, USA
George Vachtsevanos (s'62–M'63–SM'89) received the B.E.E. degree from the City College of New York, New York, NY, the M.E.E. degree from New York University, New York, NY, and the Ph.D. degree in electrical engineering from the City University of New York, New York, NY.
He is currently a Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology, Atlanta, where he directs the Intelligent Control Systems Laboratory. His research interests include intelligent systems, diagnostics and prognostics, and robotics and manufacturing systems. He has published in the areas of control systems, power systems, bioengineering, and diagnostics/prognostics.
Dr. Vachtsevanos is a member of Eta Kappa Nu, Tau Beta Pi, and Sigma Xi.
George Vachtsevanos (s'62–M'63–SM'89) received the B.E.E. degree from the City College of New York, New York, NY, the M.E.E. degree from New York University, New York, NY, and the Ph.D. degree in electrical engineering from the City University of New York, New York, NY.
He is currently a Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology, Atlanta, where he directs the Intelligent Control Systems Laboratory. His research interests include intelligent systems, diagnostics and prognostics, and robotics and manufacturing systems. He has published in the areas of control systems, power systems, bioengineering, and diagnostics/prognostics.
Dr. Vachtsevanos is a member of Eta Kappa Nu, Tau Beta Pi, and Sigma Xi.View more
Author image of B. Litt
Departments of Neurology and Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
Brian Litt (A'88–s'89–M'91) received the A.B. degree in engineering and applied science from Harvard University, Cambridge, MA, in 1982 and the M.D. degree from Johns Hopkins University, Baltimore, MD, in 1986.
He did a residency in neurology at Johns Hopkins University from 1988–1991. He was a member of the neurology faculty at Johns Hopkins Hospital from 1991–1996 and of the Neurology/Biomedical engineering faculty at Emory University/Georgia Institute of Technology, Atlanta, from 1997–1999. He is currently an Assistant Professor of Neurology, Assistant Professor of Bioengineering, and Director, EEG Laboratory at the University of Pennsylvania, Philadelphia. His scientific research is focused on his clinical work as a neurologist specializing in the care and treatment of individuals with epilepsy. It encompasses a number of related projects: automated implantable devices for the treatment of epilepsy; seizure prediction: developing computational models of how seizures are generated and spread in human epilepsy; localization of seizures in extratemporal epilepsy; and minimally invasive tools for acquisition and display of high-fidelity electrophysiologic recording.
Brian Litt (A'88–s'89–M'91) received the A.B. degree in engineering and applied science from Harvard University, Cambridge, MA, in 1982 and the M.D. degree from Johns Hopkins University, Baltimore, MD, in 1986.
He did a residency in neurology at Johns Hopkins University from 1988–1991. He was a member of the neurology faculty at Johns Hopkins Hospital from 1991–1996 and of the Neurology/Biomedical engineering faculty at Emory University/Georgia Institute of Technology, Atlanta, from 1997–1999. He is currently an Assistant Professor of Neurology, Assistant Professor of Bioengineering, and Director, EEG Laboratory at the University of Pennsylvania, Philadelphia. His scientific research is focused on his clinical work as a neurologist specializing in the care and treatment of individuals with epilepsy. It encompasses a number of related projects: automated implantable devices for the treatment of epilepsy; seizure prediction: developing computational models of how seizures are generated and spread in human epilepsy; localization of seizures in extratemporal epilepsy; and minimally invasive tools for acquisition and display of high-fidelity electrophysiologic recording.View more
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