Publication date
January 2016
DOI Publisher
Science and Engineering Publishing CompanyAbstract
This article analyzes and classifies EEG signals using wavelets decomposition and support vector machines (SVM)
This article analyzes and classifies EEG signals using wavelets decomposition and support vector machines (SVM)
This paper proposes a new algorithm which combines the information in frequency domain with the Info...
International audienceWe address with this paper some real-life healthy and epileptic EEG signals cl...
Epilepsy is the most common form of neurological disease. The electroencephalogram (EEG) is the main...
This article analyzes and classifies EEG signals using wavelets decomposition and support vector mac...
Epilepsy is one of the widespread disorders. It is a noncommunicable disease that affects the human ...
The epileptic seizure is a disease of central nervous system. Its detection by the physical analysis...
Epilepsy is a commonly observed long-term neurological disorder that impairs nerve cell activity in ...
Electroencephalogram (EEG) is an important brain signal for disease diagnosis. Automated detection o...
Many approaches have been proposed using Electroencephalogram (EEG) to detect epilepsy seizures in t...
The development of a robust technique for automatic detection of the epileptic seizures is an import...
This paper presents an epilepsy detection method based on discrete wavelet transform (DWT) and Machi...
Epilepsy is a neurological disorder which is most widespread in human beings after stroke. Approxima...
Epilepsy is one of the most common complex brain disorders which is a chronic non-communicable disea...
EEG signal processing involves multiple algorithms in which epileptic data is received in the MATLAB...
EEG (Electroencephalogram) is a non-stationary signal that has been well established to be used for ...
This paper proposes a new algorithm which combines the information in frequency domain with the Info...
International audienceWe address with this paper some real-life healthy and epileptic EEG signals cl...
Epilepsy is the most common form of neurological disease. The electroencephalogram (EEG) is the main...
This article analyzes and classifies EEG signals using wavelets decomposition and support vector mac...
Epilepsy is one of the widespread disorders. It is a noncommunicable disease that affects the human ...
The epileptic seizure is a disease of central nervous system. Its detection by the physical analysis...
Epilepsy is a commonly observed long-term neurological disorder that impairs nerve cell activity in ...
Electroencephalogram (EEG) is an important brain signal for disease diagnosis. Automated detection o...
Many approaches have been proposed using Electroencephalogram (EEG) to detect epilepsy seizures in t...
The development of a robust technique for automatic detection of the epileptic seizures is an import...
This paper presents an epilepsy detection method based on discrete wavelet transform (DWT) and Machi...
Epilepsy is a neurological disorder which is most widespread in human beings after stroke. Approxima...
Epilepsy is one of the most common complex brain disorders which is a chronic non-communicable disea...
EEG signal processing involves multiple algorithms in which epileptic data is received in the MATLAB...
EEG (Electroencephalogram) is a non-stationary signal that has been well established to be used for ...
This paper proposes a new algorithm which combines the information in frequency domain with the Info...
International audienceWe address with this paper some real-life healthy and epileptic EEG signals cl...
Epilepsy is the most common form of neurological disease. The electroencephalogram (EEG) is the main...
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