Wykaz obszarów badawczych związanych z tagiem Przetwarzanie-sygnalow:
| # | Obszar badawczy | Dziedzina naukowa |
|---|---|---|
| 1 |
The research topic includes the development of algorithms for the processing and analysis of physiological signals, including EEG, for the purpose of the detection and prediction of epileptic seizures. The research will also cover the location of the sources of epilepsy. An important aspect of the research will be the development of algorithms that can be used in medical practice. The EEG signals database collected as part of cooperation with the Medical University of Warsaw for over 50 people is available for use. The pre-processing research is expected to develop an EMG / EEA / ECG artifact elimination method. The task involves the development of effective trait extraction methods for the detection and prediction of epileptic seizures. As an important research novelty, it is worth considering the use of deep learning, including autoencoders and convolutional neural networks.
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| 2 |
Theory and algorithms of intelligent hypercomplex signal processing: The research is concentrated on the theory and search of practical applications of theoretical results in multidimensional signal processing. Nowadays, the methods of intelligent signal processing are extensively developping as the alternative of conventional methods. Such an approach facilitates elaboration of effective algorithms of multidimensional signal processing using deep learning methods and neural networks. In the first stage of the research, the study of advanced conventional methods of multidimensional signal processing with emphasis on hypercomplex algebras of quaternions and octonions is required. Then, the deep study of the state-of-the art in the domain of intelligent methods of multidimensional signal processing is needed. During the research, new methods will be alaboarted and tested on real 3-D signals.
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