Data augmentation for deep-learning-based electroencephalography
Background Data augmentation (DA) has recently been demonstrated to achieve
considerable performance gains for deep learning (DL)—increased accuracy and stability …
considerable performance gains for deep learning (DL)—increased accuracy and stability …
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 …
A review of symbolic analysis of experimental data
This review covers the group of data-analysis techniques collectively referred to as
symbolization or symbolic time-series analysis. Symbolization involves transformation of raw …
symbolization or symbolic time-series analysis. Symbolization involves transformation of raw …
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 …
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 …
[BOOK][B] Epilepsy as a dynamic disease
A" brain defibrillator" may be closer than we think. An epileptic seizure involves a
paroxysmal change in the activity of millions of neurons. Feedback control of seizures would …
paroxysmal change in the activity of millions of neurons. Feedback control of seizures would …
Characterizing neurodynamic changes before seizures
M Le Van Quyen, J Martinerie, V Navarro… - Journal of Clinical …, 2001 - journals.lww.com
The study of dynamic changes in neural activity preceding epileptic seizure allows the
characterization of a preictal state several minutes before seizure onset. This opens up new …
characterization of a preictal state several minutes before seizure onset. This opens up new …
Assessing the complex dynamics of entrepreneurial ecosystems: A nonstationary approach
The notion of entrepreneurial ecosystems (EEs) has received growing interest from
scientists, practitioners and policy-makers over the past decade. Whereas previous research …
scientists, practitioners and policy-makers over the past decade. Whereas previous research …
Complexity analysis of stride interval time series by threshold dependent symbolic entropy
The stride interval of human gait fluctuates in complex fashion. It reflects the rhythm of the
locomotor system. The temporal fluctuations in the stride interval provide us a non-invasive …
locomotor system. The temporal fluctuations in the stride interval provide us a non-invasive …
[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 …