Seizure prediction: the long and winding road
The sudden and apparently unpredictable nature of seizures is one of the most disabling
aspects of the disease epilepsy. A method capable of predicting the occurrence of seizures …
aspects of the disease epilepsy. A method capable of predicting the occurrence of seizures …
Epileptic seizure prediction and control
LD Iasemidis - IEEE Transactions on Biomedical Engineering, 2003 - ieeexplore.ieee.org
Epileptic seizures are manifestations of epilepsy, a serious brain dynamical disorder second
only to strokes. Of the world's/spl sim/50 million people with epilepsy, fully 1/3 have seizures …
only to strokes. Of the world's/spl sim/50 million people with epilepsy, fully 1/3 have seizures …
Detecting dynamical changes in time series using the permutation entropy
Timely detection of unusual and/or unexpected events in natural and man-made systems
has deep scientific and practical relevance. We show that the recently proposed …
has deep scientific and practical relevance. We show that the recently proposed …
Prediction of epileptic seizures
B Litt, J Echauz - The Lancet Neurology, 2002 - thelancet.com
For almost 40 years, neuroscientists thought that epileptic seizures began abruptly, just a
few seconds before clinical attacks. There is now mounting evidence that seizures develop …
few seconds before clinical attacks. There is now mounting evidence that seizures develop …
[BOOK][B] Multiscale analysis of complex time series: integration of chaos and random fractal theory, and beyond
The only integrative approach to chaos and random fractal theory Chaos and random fractal
theory are two of the most important theories developed for data analysis. Until now, there …
theory are two of the most important theories developed for data analysis. Until now, there …
Permutation entropy to detect vigilance changes and preictal states from scalp EEG in epileptic patients. A preliminary study
AA Bruzzo, B Gesierich, M Santi, CA Tassinari… - Neurological …, 2008 - Springer
Permutation entropy (PE) was recently introduced as a very fast and robust algorithm to
detect dynamic complexity changes in time series. It was also suggested as a useful …
detect dynamic complexity changes in time series. It was also suggested as a useful …
New horizons in ambulatory electroencephalography
E Waterhouse - IEEE Engineering in Medicine and Biology …, 2003 - ieeexplore.ieee.org
Discusses improving the quality of life for epilepsy patients with a lower-cost, convenient
alternative to in-hospital epilepsy monitoring. Since its inception 30 years ago, ambulatory …
alternative to in-hospital epilepsy monitoring. Since its inception 30 years ago, ambulatory …
[BOOK][B] Epilepsy: the intersection of neurosciences, biology, mathematics, engineering, and physics
I Osorio, HP Zaveri, MG Frei, S Arthurs - 2016 - books.google.com
Integrating the studies of epilepsy, neurosciences, computational neurosciences,
mathematics, physics, engineering, and medicine, this volume provides the first means to a …
mathematics, physics, engineering, and medicine, this volume provides the first means to a …
Seizure anticipation in pediatric epilepsy: use of Kolmogorov entropy
The purpose of this paper is to demonstrate feasibility of using trends in Kolmogorov entropy
to anticipate seizures in pediatric patients with intractable epilepsy. Surface and intracranial …
to anticipate seizures in pediatric patients with intractable epilepsy. Surface and intracranial …
Seizure prediction and its applications
LD Iasemidis - Neurosurgery Clinics, 2011 - neurosurgery.theclinics.com
Epilepsy is considered a window to the brain's function and is therefore an increasingly
active, interdisciplinary field of research. 1, 2 The sacred or divine disease is among the …
active, interdisciplinary field of research. 1, 2 The sacred or divine disease is among the …