Authors:
A. Schlögl
1
;
C. Vidaurre
1
;
Ernst Hofer
2
;
Thomas Wiener
2
;
Clemens Brunner
3
;
Reinhold Scherer
3
and
Franco Chiarugi
4
Affiliations:
1
Fraunhofer FIRST-IDA, Germany
;
2
Institute of Biophysics, Medical University of Graz, Austria
;
3
Institute for Knowledge Discovery, University of Technology Graz, Austria
;
4
Institute of Computer Science (ICS), Foundation for Research and Technology - Hellas (FORTH), Greece
Keyword(s):
Standardization, Quality control, electroencephalogram, Brain Computer Interfaces, Free/libre open source software (FLOSS).
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Education and Training
;
Informatics in Control, Automation and Robotics
;
Medical Image Detection, Acquisition, Analysis and Processing
;
Physiological Processes and Bio-Signal Modeling, Non-Linear Dynamics
;
Real-Time Systems
;
Signal Processing, Sensors, Systems Modeling and Control
;
Simulation and Modeling
;
Simulation Tools and Platforms
;
Time and Frequency Response
;
Time-Frequency Analysis
Abstract:
Biomedical signal processing is an important but underestimated area of medical informatics. In order to overcome this limitation, the open source software library BioSig has been established. The tools can be used to compare the recordings of different equipment providers, it provides validated methods for artifact processing and supports over 40 different data formats (more than any other software in this area). BioSig provides reference implementations for biomedical signal processing questions and holds the top rank among all biomedical signal processing projects registered at SourceForge. Thus is provides standardization and quality control for the field of biomedical signal processing.