Thesis - Instituto de Telecomunicações

A.2. SCIENTIFIC COMPUTATION 145side scripting language also based on Python. We also used the subclipse eclipse plugin forconcurrent software development based on the subversion system.In some points of the thesis, for study or validation of some symbolic mathematics, weused the computer algebra system Maxima [197].In order to maintain information about the project, a portal was constructed that compriseda set of introductory pages (some of them contain information similar to the informationpresented in this thesis), the examples of the set of developed tests and a wiki systemthat was used to maintain daily information for external and internal usage. This wiki wasbased on the moinmoin open source wiki.We developed a signal database that gives access to the data using a set of queries.This database enabled data retrieval, according to the user, the test, time period and typeof signal. This database was generated from the set of raw data signals collected aftera synchronizition algorithm that guarantees that the time reference is equal both for theHCI signals and for the electrophysiological signals. The signals were originally stored intext data files, but they were also stored in binary format for better performance whenaccesing the data. For signal processing and classification purposes we developed a toolboxin Python with functions arranged in the following classes: Datawarehouse - for databasemanipulation; Signal Processing - for processing the signals and creating the features vector;Pattern Recognition - tools for data modeling and classification; Sandbox - for generalfunctions in the testing phase; Plotting - for functions related to the figure publishing;Visualization - for visualization of the signals being processed.