J. Chris Sackellares, M.D.
Affiliations: | 1979-1994 | University of Michigan, Ann Arbor, Ann Arbor, MI | |
| 1994- | Neurology | University of Florida, Gainesville, Gainesville, FL, United States |
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Children
Sign in to add trainee| Leonidas Iasemidis | grad student | 1991 | University of Michigan (E-Tree) |
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| Nair SP, Jukkola PI, Quigley M, et al. (2021) ABSENCE SEIZURES AS RESETTING MECHANISMS OF BRAIN DYNAMICS. Cybernetics and Systems Analysis. 44: 664-672 |
| Halford JJ, Shiau D, Desrochers JA, et al. (2014) Inter-rater agreement on identification of electrographic seizures and periodic discharges in ICU EEG recordings. Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology |
| Sackellares JC, Shiau DS, Halford JJ, et al. (2011) Quantitative EEG analysis for automated detection of nonconvulsive seizures in intensive care units. Epilepsy & Behavior : E&B. 22: S69-73 |
| Kelly KM, Shiau DS, Jukkola PI, et al. (2011) Effects of age and cortical infarction on EEG dynamic changes associated with spike wave discharges in F344 rats Experimental Neurology. 232: 15-21 |
| Halford JJ, Shiau DS, Kern RT, et al. (2010) Seizure Detection Software Used to Complement the Visual Screening Process for Long-Term EEG Monitoring. American Journal of Electroneurodiagnostic Technology. 50: 133-147 |
| Shiau DS, Halford JJ, Kelly KM, et al. (2010) SIGNAL REGULARITY-BASED AUTOMATED SEIZURE DETECTION SYSTEM FOR SCALP EEG MONITORING. Cybernetics and Systems Analysis. 46: 922-935 |
| Kelly KM, Shiau DS, Kern RT, et al. (2010) Assessment of a scalp EEG-based automated seizure detection system Clinical Neurophysiology. 121: 1832-1843 |
| Mammone N, Principe JC, Morabito FC, et al. (2010) Visualization and modelling of STLmax topographic brain activity maps. Journal of Neuroscience Methods. 189: 281-94 |
| Sackellares JC. (2010) Seizure prediction. Epilepsy Currents. 8: 55-9 |
| Nair SP, Shiau DS, Principe JC, et al. (2009) An investigation of EEG dynamics in an animal model of temporal lobe epilepsy using the maximum Lyapunov exponent. Experimental Neurology. 216: 115-21 |