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Ischemic Brain Stroke is considered to be one of the most significant reason causing mortality of patients. During first 60 days after brain stroke some critical symptoms are localized. Eventual registration of physiological parameters or biomedical signals e.g. heart rate variability within that time results in extremely difficult interpretation, most likely at the certain border of commonly understand...
The analysis of HRV spectrum, where parasympathetic (PNS) and sympathetic (SNS) nervous systems present their influence suffers from the insufficiency of precise methodology as both mentioned influences have totally nonlinear behavior. Therefore a new approach has recently been proposed, which expands nonlinear systempsilas dynamics into modal components in the system inputs. The most significant...
This paper aims at investigating an unsupervised learnt neural networks in classifier applications and comparing them to supervised perceptron type nets. The proposed solutions focus on combing the time-frequency preliminary analysis by means of wavelet transform with application of self organizing maps. Using wavelet transform as a feature extraction tool allowed to reveal important parameters included...
We try to place emphasis especially on the feature extraction stage of classification procedure, where new feature vectors obtained from a high-dimensional data space, which the best match the analysed classification task are proposed. Based on multilevel Mallat wavelet decomposition, parameters obtained directly from the wavelet component as well as feature resulting from energy and entropy analysis...
The new 5 MeV electrostatic ion accelerator, projected, built, and tested at the Central Research Institute for Physics in Budapest, with some necessary aid from Hungarian industry /pressure vessel etc./ is described. The accelerator's main specifications are detailed and an account is given of the experiences with glass and porcelain accelerating tubes. By careful design, the intensity of radiation...
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