Sökning: "EEG signal processing"
Visar resultat 1 - 5 av 14 avhandlingar innehållade orden EEG signal processing.
1. Classification of Burst and Suppression in the Neonatal EEG
Sammanfattning : The brain requires a continuous supply of oxygen and even a short period of reduced oxygen supply risks severe and lifelong consequences for the affected individual. The delivery is a vulnerable period for a baby who may experience for example hypoxia (lack of oxygen) that can damage the brain. LÄS MER
2. The EEG of the Neonatal Brain – Classification of Background Activity
Sammanfattning : The brain requires a continuous supply of oxygen and nutrients, and even a short period of reduced oxygen supply can cause severe and lifelong consequences for the affected individual. The unborn baby is fairly robust, but there are of course limits also for these individuals. The most sensitive and most important organ is the brain. LÄS MER
3. Exploring Auditory Attention Using EEG
Sammanfattning : Listeners with normal-hearing often overlook their ability to comprehend speech in noisy environments effortlessly. Our brain’s adeptness at identifying and amplifying attended voices while suppressing unwanted background noise, known as the cocktail party problem, has been extensively researched for decades. LÄS MER
4. Statistical inference and time-frequency estimation for non-stationary signal classification
Sammanfattning : This thesis focuses on statistical methods for non-stationary signals. The methods considered or developed address problems of stochastic modeling, inference, spectral analysis, time-frequency analysis, and deep learning for classification. LÄS MER
5. On methods for pattern recognition with application to epileptic electroencephalograms
Sammanfattning : The thesis treats methods for pattern recognition in multichannel electroencephalogram (EEG) signals, for application to diagnostics of epilepsy. Parts I-IV treat methods for feature extraction and clustering of EEG spikes, occurring between epileptic seizures, and part V presents a method for filtering seizure onset EEG signals. LÄS MER