Authors:
Ana Priscila Alves
1
;
Hugo Plácido da Silva
1
;
André Lourenço
2
and
Ana Fred
1
Affiliations:
1
Instituto Superior Técnico, Portugal
;
2
Instituto Superior Técnico and Instituto Superior de Engenharia de Lisboa, Portugal
Keyword(s):
Biosignals, Data Acquisition, Data Visualization, Web Technologies.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Applications
;
Education in Signal Processing
;
Human-Machine Interface
;
Multidimensional Signal Processing
;
Multimedia
;
Multimedia Signal Processing
;
Multimedia Systems and Applications
;
Multimodal Signal Processing
;
Telecommunications
Abstract:
Biosignals have had an increasingly important role in the research and development of new applications for healthcare, sports, quality of life, and many other fields. Still, researchers are often faced with problems related with the ease-of-use and practicality of software tools for rapid prototyping of applications that involve biosignal acquisition and processing. Typically, there are either highly flexible scientific computing tools or custom developed and application-specific tools, the former being often characterized by long learning curves and limited user interface design capabilities, while the latter is often characterized by poor cross-platform compatibility, and overheads in terms of development time when new features are needed. In this paper we present a versatile, flexible, and extensible software framework for rapid prototyping of end-user applications, specifically targeted at biosignal acquisition and post-processing. We build on the advantages of combining web tech
nologies with the Python programming language, to improve the usability, interaction, cross-platform compatibility, extensibility, and flexibility of biosignal-based applications.
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