The First International Collaborative Workshop on Seizure Prediction: summary and data description.
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Summary
A description of the shared data set used for analysis, a summary of the major discussion points from the workshop, and points of consensus among the group are referenced in this issue.
- Type
- article
- Published
- 2005-03-01
- Cited by
- 132
- References
- 38
- OpenAlex
- https://openalex.org/W1976482191
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:14320762
Keywords
German, Strengths and weaknesses, Session (web analytics), Epilepsy, Set (abstract data type)
References
- Quadratic Binary Programming and Dynamical System Approach to Determine the Predictability of Epileptic Seizures
- Spatio-temporal dynamics of the primary epileptogenic area in temporal lobe epilepsy characterized by neuronal complexity loss.
- Characterizing Neurodynamic Changes Before Seizures
- Does interictal spiking change prior to seizures?
- Phase space topography and the Lyapunov exponent of electrocorticograms in partial seizures
- Interictal spiking increases after seizures but does not after decrease in medication.
- Automated detection of a preseizure state based on a decrease in synchronization in intracranial electroencephalogram recordings from epilepsy patients.
- Anticipating epileptic seizures in real time by a non-linear analysis of similarity between EEG recordings.
- Testing the null hypothesis of the nonexistence of a preseizure state.
- The seizure prediction characteristic: a general framework to assess and compare seizure prediction methods.
- CAN EPILEPTIC SEIZURES BE PREDICTED? EVIDENCE FROM NONLINEAR TIME SERIES ANALYSIS OF BRAIN ELECTRICAL ACTIVITY
- Epileptic seizures can be anticipated by non-linear analysis
- Epileptic seizures are preceded by a decrease in synchronization.
- EEG analysis with simulated neuronal cell models helps to detect pre-seizure changes.
- Seizure prediction by non‐linear time series analysis of brain electrical activity
- Special issue on epileptic seizure prediction
- Temporo-spatial patterns of pre-ictal spike activity in human temporal lobe epilepsy.
- On the prediction of epileptic seizures
- Time dependencies in the occurrences of epileptic seizures.
- Spatio‐temporal characterizations of non‐linear changes in intracranial activities prior to human temporal lobe seizures
Cited by
- Therapeutic Devices for Epilepsy
- Accumulated energy revisited.
- Optimization and Data Mining in Epilepsy Research: A Review and Prospective
- EEG Analysis With Nonlinear Excitable Media
- VARIABILITY ANALYSIS & ITS APPLICATIONS TO PHYSIOLOGICAL TIME SERIES DATA
- Early Detection of Seizure With a Sequential Analysis Approach
- Report on the Fourth International Workshop on Seizure Prediction in Kansas City, USA, June 4–7, 2009
- Neurostimulation for the Treatment of Epilepsy: A Review of Current Surgical Interventions
- Interictal to Ictal Transition in Human Temporal Lobe Epilepsy: Insights From a Computational Model of Intracerebral EEG
- Machine learning for seizure prediction: A revamped approach
- The Future of Intracranial EEG Recording in Epilepsy: a Technological Issue?
- Technology Insight: neuroengineering and epilepsy—designing devices for seizure control
- Evaluating bio-inspired approaches for advance prediction of epileptic seizures
- Graph-theoretic analysis of epileptic seizures on scalp EEG recordings
- Nonlinear Time Series Analysis in Epilepsy
- Wavelet based algorithm for the estimation of frequency flow from electroencephalogram data during epileptic seizure.
- Identifying an increased risk of epileptic seizures using a multi-feature EEG-ECG classification
- [Seizure prediction: from myth to reality].
- Deterministic dynamics of neural activity during absence seizures in rats.
- Predictability Analysis for an Automated Seizure Prediction Algorithm
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