The purpose of this project is to detect when an epileptic seizure has happened. Epileptic electroencephalogram signals (EEG) have been analyzed using Short Time Fourier Transform (STFT) and Wavelet Transform (WT). When epileptic events occur, EEG signals are nonstationary. For this reason, STFT and WT have to be applied in this research to analyze these signals and to extract the most representative features of them. The aim is to process a set of signals from several pacients so that they can be classified by a classifier in order to find when a seizure has happened.Ingeniería de Telecomunicació
Epilepsy is a neurological disorder which is most widespread in human beings after stroke. Approxima...
seizures, which severely impact the quality of life of epilepsy patients and sometimes are accompani...
Epilepsy is a brain abnormality that leads its patients to suffer from seizures, which conditions th...
The purpose of this project is to detect when an epileptic seizure has happened. Epileptic electroen...
The detection of epileptic seizures becomes increasingly important because of the widespread of this...
Epilepsy is the most common form of neurological disease. The electroencephalogram (EEG) is the main...
Epileptiform transients (ETs) are an important kind of EEG signal. They have various morphologies an...
Brain signals refer to electroencephalogram (EEG) data that contain the most important information i...
Electroencephalography (EEG) is a measurement tool to measure the electrical activity of brain obser...
4 pages, 3 figures.-- Contributed to: "Engineering the Future of Biomedicine", EMBC2009, 31st Annual...
In this work, wavelet transform (WT) is used to analyze epileptic seizure in recorded EEG signals. W...
The electroencephalogram (EEG) signal is very important in the diagnosis of epilepsy. Long-term EEG ...
Epilepsy is a chronic brain disorder that is characterized by abrupt discharge of neurons. Epilepsy ...
IEEE MTT/ED/AP/CPMT/SSC West Ukraine Chapter;IEEE Section Ukraine12th International Conference on Pe...
Epileptic seizure detection is commonly implemented by expert clinicians with visual observation of ...
Epilepsy is a neurological disorder which is most widespread in human beings after stroke. Approxima...
seizures, which severely impact the quality of life of epilepsy patients and sometimes are accompani...
Epilepsy is a brain abnormality that leads its patients to suffer from seizures, which conditions th...
The purpose of this project is to detect when an epileptic seizure has happened. Epileptic electroen...
The detection of epileptic seizures becomes increasingly important because of the widespread of this...
Epilepsy is the most common form of neurological disease. The electroencephalogram (EEG) is the main...
Epileptiform transients (ETs) are an important kind of EEG signal. They have various morphologies an...
Brain signals refer to electroencephalogram (EEG) data that contain the most important information i...
Electroencephalography (EEG) is a measurement tool to measure the electrical activity of brain obser...
4 pages, 3 figures.-- Contributed to: "Engineering the Future of Biomedicine", EMBC2009, 31st Annual...
In this work, wavelet transform (WT) is used to analyze epileptic seizure in recorded EEG signals. W...
The electroencephalogram (EEG) signal is very important in the diagnosis of epilepsy. Long-term EEG ...
Epilepsy is a chronic brain disorder that is characterized by abrupt discharge of neurons. Epilepsy ...
IEEE MTT/ED/AP/CPMT/SSC West Ukraine Chapter;IEEE Section Ukraine12th International Conference on Pe...
Epileptic seizure detection is commonly implemented by expert clinicians with visual observation of ...
Epilepsy is a neurological disorder which is most widespread in human beings after stroke. Approxima...
seizures, which severely impact the quality of life of epilepsy patients and sometimes are accompani...
Epilepsy is a brain abnormality that leads its patients to suffer from seizures, which conditions th...