Abstract — In this paper, the performance of traditional variance-based method for detection of epileptic seizures in EEG signals are compared with various methods based on nonlinear time series analysis, entropies, logistic regression, discrete wavelet transform and time frequency distributions. We noted that variance-based method in compare to the mentioned methods had the best result (100%) applied on the same database
Approximately 1% of the world's population has epilepsy, and 25% of epilepsy patients cannot be tre...
An epileptic seizure is a transient event of abnormal excessive neuronal discharge in the brain. Thi...
This study proposes a method of automatic detection of epileptic seizure event and onset using wavel...
In this paper, the performance of traditional variance-based method for detection of epileptic seizu...
This paper analyses seizure detection features and their combinations using a probability-based scal...
This paper deals with the problem of seizure detection in newborns using the EEG signal. The perform...
Abstract Epilepsy is a chronic chaos of the central nervous system that influences individual’s dail...
Epileptic seizure detection is commonly implemented by expert clinicians with visual observation of ...
National audienceSeizure detection plays a central role in most aspects of epilepsy care. Understand...
In the past decade, Discrete Wavelet Transform (DWT), a powerful time-frequency tool, has been widel...
Electroencephalogram (EEG) is an important technique for detecting epileptic seizures. In this paper...
Epilepsy is a critical neurological disorder resulting from abnormal hyper-excitability of neurons i...
The performance of traditional linear (variance based) methods for the identification and prediction...
The electroencephalogram (EEG) is a physiological time series that measures electrical activity at d...
International audienceThis paper presents a statistical signal processing method for the characteriz...
Approximately 1% of the world's population has epilepsy, and 25% of epilepsy patients cannot be tre...
An epileptic seizure is a transient event of abnormal excessive neuronal discharge in the brain. Thi...
This study proposes a method of automatic detection of epileptic seizure event and onset using wavel...
In this paper, the performance of traditional variance-based method for detection of epileptic seizu...
This paper analyses seizure detection features and their combinations using a probability-based scal...
This paper deals with the problem of seizure detection in newborns using the EEG signal. The perform...
Abstract Epilepsy is a chronic chaos of the central nervous system that influences individual’s dail...
Epileptic seizure detection is commonly implemented by expert clinicians with visual observation of ...
National audienceSeizure detection plays a central role in most aspects of epilepsy care. Understand...
In the past decade, Discrete Wavelet Transform (DWT), a powerful time-frequency tool, has been widel...
Electroencephalogram (EEG) is an important technique for detecting epileptic seizures. In this paper...
Epilepsy is a critical neurological disorder resulting from abnormal hyper-excitability of neurons i...
The performance of traditional linear (variance based) methods for the identification and prediction...
The electroencephalogram (EEG) is a physiological time series that measures electrical activity at d...
International audienceThis paper presents a statistical signal processing method for the characteriz...
Approximately 1% of the world's population has epilepsy, and 25% of epilepsy patients cannot be tre...
An epileptic seizure is a transient event of abnormal excessive neuronal discharge in the brain. Thi...
This study proposes a method of automatic detection of epileptic seizure event and onset using wavel...