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MEEG: A system for electroencephalogram data management and analysis

Conference Paper
Publication Date:
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 generated 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.
Iris type:
4.1 Contributo in Atti di convegno
List of contributors:
Mirarchi, D.; Vizza, P.; Cinaglia, P.; Tradigo, G.; Veltri, P.
Authors of the University:
TRADIGO GIUSEPPE
VIZZA PATRIZIA
Handle:
https://iris.uniecampus.it/handle/11389/36387
Book title:
Proceedings of 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Published in:
PROCEEDINGS IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE
Series
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URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045988816&doi=10.1109/BIBM.2017.8217905&partnerID=40&md5=37537a20abd809e1722fb61964b9a236
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