DEVELOPMENT OF THE SERVICE FOR STIMULI SCENARIO REPRESENTATION BASED ON MODEL DRIVEN ARCHITECTURE

Abstract

Methods of quantitative data analysis are important in modern physiology. Necessary condition for usage of mathematical statistics, signal analysis and machine learning is the availability of properly collected, marked and prepared data. Thus, preservation of meta-information and structuring results will be useful for their further processing. Physiological experiment consists of a set of trials (samples), in which instructions and certain stimuli are presented to the participant. Reaction on the test sample is recorded as physiological measures. Currently there are many software systems that allow you to create, edit and present scenarios of stimuli representation. Existing systems of presentation stimulus scenario can solve a wide range of tasks but they are not suitable for reusing and there is no universal way to extract metadata of the scenario of the experiment. Purpose of the work is development of the service for stimuli scenario representation with graphical interface, features of saving data in platform independent format and execution in one of the systems. Proposed approach uses model driven architecture principles. The platform-independent model is based on the open format of PsychoPy experiment. Neurobs Presentation system is used to execute scenario. Program code is generated automatically with transformation of the platform-independent model into platform-specific model and describing the syntax of the Presentation domain specific language. Implementation of this approach may be extended to other systems.