Wavelet based automatic seizure detection in intracerebral electroencephalogram.
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Summary
A wavelet-based method that remembers rhythmic bursts occurring commonly in the background to avoid detecting them as seizures, and the 87% sensitivity obtained in the combined training and testing data is quite high.
- Type
- article
- Published
- 2003-05-01
- Cited by
- 349
- References
- 17
- OpenAlex
- https://openalex.org/W1971386783
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:23612635
Keywords
Electroencephalography, False alarm, Epilepsy, Sensitivity (control systems), Pattern recognition (psychology)
References
- Introduction to Wavelets and Wavelet Transforms: A Primer
- Automatic recognition of epileptic seizures in the EEG.
- Time-frequency analysis of electrophysiology signals in epilepsy
- Real‐Time Automated Detection and Quantitative Analysis of Seizures and Short‐Term Prediction of Clinical Onset
- A practical analysis of computer based seizure detection during continuous video-EEG monitoring.
- Long-term EEG-video-audio monitoring: computer detection of focal EEG seizure patterns.
- An approach to seizure detection using an artificial neural network (ANN).
- Automated seizure detection using a self-organizing neural network.
- A seizure warning system for long-term epilepsy monitoring
- Automatic recognition and quantification of interictal epileptic activity in the human scalp EEG.
- Seizure detection using a self-organizing neural network: validation and comparison with other detection strategies.
- Patient awareness of seizures
- An automated seizure monitoring system for patients with indwelling recording electrodes.
- Automatic seizure detection: improvements and evaluation.
- Wavelet preprocessing for automated neural network detection of EEG spikes
- A patient-specific algorithm for the detection of seizure onset in long-term EEG monitoring: possible use as a warning device
- Detection of epileptiform activity using wavelet and neural network
Cited by
- Patient-Specific Early Seizure Detection from Scalp EEG
- Classification of EEG signals using neural network and logistic regression
- Epileptic Spike Recognition in Electroencephalogram Using Deterministic Finite Automata
- Detection of EEG transients in neonates and older children using a system based on dynamic time-warping template matching and spatial dipole clustering
- Wavelet-based Gaussian-mixture hidden Markov model for the detection of multistage seizure dynamics: A proof-of-concept study
- Analyse automatique des crises d'épilepsie du lobe temporal à partir des EEG de surface
- EEG Analysis With Nonlinear Excitable Media
- Wyznaczanie atrybutów sygnału EEG w oparciu o transformatę Stockwella
- Hierarchical multi-class SVM with ELM kernel for epileptic EEG signal classification
- Epilepsy Seizure Detection Using Autoregressive Modelling and Multiple Layer Perceptron Neural Network
- An emboli detection system based on Dual Tree Complex Wavelet Transform and ensemble learning
- Entropy analyses of spatiotemporal synchronizations in brain signals from patients with focal epilepsies
- Epileptic Seizure Detection using Spike Information of Intrinsic Mode Functions with Neural Network
- Automatic detection of epileptic seizure onset and termination using intracranial EEG
- Kernel Collaborative Representation-Based Automatic Seizure Detection in Intracranial EEG
- Evaluating bio-inspired approaches for advance prediction of epileptic seizures
- A wavelet-based energetic approach for the analysis of biomedical signals: Application to the electroencephalogram and electro-oculogram
- Classification of ictal and seizure-free EEG signals using fractional linear prediction
- Empirical Mode Decomposition Based Classification of Focal and Non-focal Seizure EEG Signals
- An evaluation of automated neonatal seizure detection methods.
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