DEVELOPMENT OF SCIENTIFIC-METHODOLOGICAL APPROACHES OF MACHINE LEARNING APPLICATION IN BIOSIGNALS PROCESSING

Abstract

Currentstate and future perspectives of machine learning usage in the computer bioinformatics systems are analyzed in the article. It is shown that heterogeneousness of data and wide rangeof bioinformatics tasks influenced the development of the specialized solutions for each separate domainor application.This complicates the possibility to compare effectiveness of certain methods as well asusage of the best variants for the system design for the new tasks. Research results are presented, which are related to the development of principles for the design of the biosignal computer processing systems involving the machine learning. The expediency of separation the system levels within the process of biosignals processing is reasoned, and their functions are outlined. Innovativeness of the suggested approach lies in separation of the function of lower, middle and upper levels from methods with the help of which they are realized, as well as from the implementation variants for these methods based onthe hardware and software components. It is highlighted that the middle system level is significantly invariable both in regards to the task to be solved and to the biosignal type. At the same time the upper level is specific as to the task, and the lower level is specific as to the type of biosignal. Distinct outlining of functionsfor each system level and the inter level interfaces opens prospectives for structuring information during the analysis of the known decisions, which simplifies the analysis and comparison of the effectiveness of these solutions. Design process of the computer system for the specifictasks gets simplified and potentially quickens due to the possibility of transferring the best results betweenthe related tasks. On the basis of the developed three system levels concept the rangeof tasksrelated tomachine learning application and biosignal processing on all the system levels was studied and analyzed.