Multivariate linear discrimination of seizures.
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Summary
The finding that these seizures were not a simple reflection of increasing synchronization in the EEG has important implications about the non-stationary characteristics of human post-implantation intracranial EEG data sets.
- Type
- article
- Published
- 2005-03-01
- Cited by
- 44
- References
- 25
- OpenAlex
- https://openalex.org/W15721068
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:13203619
Keywords
Geography
References
- Applied Multivariate Statistical Analysis
- Principles of neural science
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- Monitoring changing dynamics with correlation integrals: case study of an epileptic seizure
- Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients
- Neurons in human epileptic cortex: Correlation between unit and EEG activity
- Early Seizure Detection
- Synchronization of GABAergic interneuronal networks during seizure‐like activity in the rat horizontal hippocampal slice
- The Number of Synaptic Inputs and the Synchrony of Large, Sparse Neuronal Networks
- A First Course in Multivariate Statistics
- Principles of Neural Science, 3rd ed
- Antiepileptic Drug Withdrawal in Patients with Temporal Lobe Epilepsy Undergoing Presurgical Video‐EEG Monitoring
- Decreased Neuronal Synchronization during Experimental Seizures
- Turning On and Off with Excitation: The Role of Spike-Timing Asynchrony and Synchrony in Sustained Neural Activity
- Reply to ``Comment on `Performance of different synchronization measures in real data: A case study on electroencephalographic signals' ''
- Epilepsy and the Functional Anatomy of the Human Brain
Cited by
- Noise-Assisted Multivariate EMD-Based Mean-Phase Coherence Analysis to Evaluate Phase-Synchrony Dynamics in Epilepsy Patients
- Analyse automatique des crises d'épilepsie du lobe temporal à partir des EEG de surface
- VARIABILITY ANALYSIS & ITS APPLICATIONS TO PHYSIOLOGICAL TIME SERIES DATA
- Machine learning for seizure prediction: A revamped approach
- Synchronization Implies Seizure or Seizure Implies Synchronization?
- Nonlinear dynamical analysis of EEG and MEG: review of an emerging field.
- Classification of patterns of EEG synchronization for seizure prediction.
- Bifurcation control of a seizing human cortex.
- Seizure state detection of temporal lobe seizures by autoregressive spectral analysis of scalp EEG.
- An efficient seizure prediction method using KNN-based undersampling and linear frequency measures.
- Impact of changes in analytical techniques for the measurement of polychlorinated biphenyls and organochlorine pesticides on temporal trends in herring gull eggs
- Towards a proper estimation of phase synchronization from time series.
- State-of-the-Art of Seizure Prediction
- Seizure anticipation: from algorithms to clinical practice
- Coalescence and Fragmentation of Cortical Networks During Focal Seizures
- Detecting Epileptic Seizure from Scalp EEG Using Lyapunov Spectrum
- Detection of epileptiform activity in EEG signals based on time-frequency and non-linear analysis
- A gradient-based adaptive learning framework for online seizure prediction
- Comparing SVM and convolutional networks for epileptic seizure prediction from intracranial EEG
- Seizure prediction: the long and winding road.
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