1,721,053 research outputs found
Advanced architectural workshop: implementing structural logics into a design process for large scale lightweight coverings
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Brain network analysis of EEG functional connectivity during imagery hand movements
No full textThe characterization of human neural activity during imaginary movement tasks represent an important challenge in order to develop er effective applications that allow the control of a machine. Yet methods based on brain network analysis of functional connectivity have been scarcely investigated. As a result we use graph theoretic methods to investigate the functional connectivity and brain network measures in order to characterize imagery hand movements in a set of healthy subjects. The results of the present study show that functional connectivity analysis and minimum spanning tree (MST) parameters allow to successfully discriminate between imagery hand movements (both right and left) and resting state conditions. In conclusion, this paper shows that brain network analysis of EEG functional connectivity could represent an efficient alternative to more classical local activation based approaches. Furthermore, it also suggests the shift toward methods based on the characterization of a limited set of fundamental functional connections that disclose salient network topological features
Contrast Enhancement of Microcalcifications in Mammograms using Morphological Enhancement and Non-flat Structuring Elements
No full textThis paper presents an approach to enhancing the contrast of microcalcifications in mammograms using a contrast enhancement algorithm based on a combination of morphological enhancement and non-flat structuring elements. Given that microcalcifications appear as small domes on a 3D relief of a mammogram, enhancement is achieved by using structuring elements which have a 3D form
Fusion of physiological measures for multimodal biometric systems
No full textPhysiological measures are widely studied from a medical point of view. Most applications lie in the field of diagnosis of heart attacks, as regards the ECG, or the detection of epileptic events, in the case of the EEG. In the last ten years, these signals are being investigated also from a biometric point of view, in order to exploit the discriminative capability provided by these measures in recognizing individuals. The present work proposes a multimodal biometric recognition system based on the fusion of the first lead (i) of the electrocardiogram (ECG) with six different bands of the electroencephalogram (EEG). The proposed approach is based on the extraction of fiducial features (peaks) from the ECG combined with spectrum features of the EEG. A dataset has been created, by composing the signals of two well-known databases. The results, reported by means of EER values, AUC values and ROC curves, show good recognition performances
Per una semiologia architettonica
No full textThe possibility of interpreting space is focused looking at the studies of Pier Ferdinando Caliari. Geometry is sigled out as the main framework. Yet perception is to be considered not as a recognition of geometry but as a tool of situation. Site is therefore the encounter of the body of the viewer and the physical spac
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