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Quantitative and automatic analysis of neurological signals and images of cognitive interest

Conference Paper
Publication Date:
2010
abstract:
A research project is briefly described aiming at the introduction and application of mathematical and automatic methods to the study of the different levels of consciousness in the human brain. The first part of this communication includes a short review of two approaches recently proposed in the field of neurosciences. The second part summarizes three data analysis methods that appear as possibly powerful tools for the investigation. These methods regard onedimensional signals, images, and textual data, respectively. Keywords: Signal Processing, Image Processing, Text Analys
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Segmentation; Social and Behavioral Sciences; Image processing; Signal processing; Text analysis
List of contributors:
Barcaro, Umberto; Salvetti, Ovidio
Handle:
https://iris.cnr.it/handle/20.500.14243/63084
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/63084/86127/prod_92083-doc_131750.pdf
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