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mEEG: A system for electroencephalogram data management and analysis
- 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.
- Subjects :
- Signal processing
medicine.diagnostic_test
business.industry
Computer science
Data management
Feature extraction
02 engineering and technology
Electroencephalography
computer.software_genre
Support vector machine
03 medical and health sciences
0302 clinical medicine
0202 electrical engineering, electronic engineering, information engineering
medicine
020201 artificial intelligence & image processing
Algorithm design
Data mining
Medical diagnosis
business
MATLAB
computer
030217 neurology & neurosurgery
computer.programming_language
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
- Accession number :
- edsair.doi...........4ffa932a4a16a1d1153946c3fd08d4e1