We develop a large number of software tools and hosting infrastructures to support the research developed at the Department. We will be detailing in this section the different tools available. You can take a look for the moment at the offer available within the UPF Knowledge Portal, the innovations created in the context of EU projects in the Innovation Radar and the software sections of some of our research groups:

 

 Artificial Intelligence

 Nonlinear Time Series Analysis

 Web Research 

 

 Music Technology

 Interactive  Technologies

 Barcelona MedTech

 Natural Language  Processing

 Nonlinear Time Series  Analysis

UbicaLab

Wireless Networking

Educational Technologies

GitHub

 

 

Back [EEG] The Bern-Barcelona EEG database

 

This page provides information about the source code, data, and results provided along with the manuscript [1]. If you use any of these resources, please make sure that you cite reference [1]. This will allow other researchers to locate the resources and the corresponding information. Links to the source code, data, and results can be found at the bottom of this page.  We suggest to refer to the resources as Bern-Barcelona EEG database

[1] Andrzejak RG, Schindler K, Rummel C (2012).  Nonrandomness, nonlinear dependence, and nonstationarity of electroencephalographic recordings from epilepsy patients. Phys. Rev. E, 86, 046206

 
Key words: electroencephalogram, epilepsy, intracranial EEG recordings, nonlinear signal analysis, nonlinear time series analysis, free EEG database, nonlinear prediction error source code, surrogate signals, surrogate source code, EEG download page Bonn, electroencephalographic recordings, open Matlab source codes

Link: https://www.upf.edu/web/ntsa/downloads/-/asset_publisher/xvT6E4pczrBw/content/2012-nonrandomness-nonlinear-dependence-and-nonstationarity-of-electroencephalographic-recordings-from-epilepsy-patients

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