Authors:
Jan Štebeták
and
Roman Moucek
Affiliation:
University of West Bohemia, Czech Republic
Keyword(s):
Neuroinformatics, Electroencephalography, Event-Related Potentials, Workflows, Analytic Methods, Syntactic Compatibility, Workflow Steps.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Biomedical Signal Processing
;
Design and Development Methodologies for Healthcare IT
;
Devices
;
Health Information Systems
;
Human-Computer Interaction
;
Physiological Computing Systems
;
Software Systems in Medicine
;
Wearable Sensors and Systems
Abstract:
Large amounts of EEG/ERP (electroencephalography, event-related potential) data are produced by scientific laboratories. For complex analysis, data are processed by a set of methods sequentially or in parallel. These processes are known as workflows. However, various input/output formats of used methods involve difficulties while putting methods in a pipe. Simple syntactic rules comparing formats of input/output are already used by workflow engines. In electrophysiology, it is necessary to extend these rules due to variety of methods. Therefore, extension of syntactic rules between subsequent methods in a workflow is presented in this paper. The proposed solution allows creating more complex workflows in the domain of electrophysiology.