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mEEG: A system for electroencephalogram data management and analysis

Authors :
Patrizia Vizza
Pierangelo Veltri
Domenico Mirarchi
Pietro Cinaglia
Giuseppe Tradigo
Source :
BIBM
Publication Year :
2017
Publisher :
IEEE, 2017.

Abstract

Electroencephalography (EEG) is a technique for the acquisition of electrical brain signals. In recent years the increase of information acquired from signal analysis has genereted a large amount of data; therefore, the development of tools for analysis has become necessary. In this paper, the mEEG prototype for EEG data managing is presented. It offers a user-friendly communication solution to exchange data between physicians and biomedical engineers. Features can be used for: (i) perform a fast diagnoses; (ii) show reports about clinical information; (iii) store and retrieve neurological data.

Details

Database :
OpenAIRE
Journal :
2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Accession number :
edsair.doi...........4ffa932a4a16a1d1153946c3fd08d4e1