DIGITAL LIBRARY
SOFTWARE SYSTEM FOR THE PROCESSING OF PHYSIOLOGICAL DATA TO IMPROVE THE QUALITY OF TRAINING OF STUDENTS
Institute of Robotics, Bulgarian Academy of Sciences (BULGARIA)
About this paper:
Appears in: ICERI2019 Proceedings
Publication year: 2019
Pages: 8320-8328
ISBN: 978-84-09-14755-7
ISSN: 2340-1095
doi: 10.21125/iceri.2019.1979
Conference name: 12th annual International Conference of Education, Research and Innovation
Dates: 11-13 November, 2019
Location: Seville, Spain
Abstract:
The paper examines the creation of a software information system for physiological data processing, which can be used in the training of students in higher education schools. The types of real physiological data, how they are obtained, and the methods of storing them in a database created for that purpose are presented. Different types of physiological records are shown and mathematical methods for their pre-processing, noise and artifact removal are described.

Besides traditional statistical data analysis methods (with linear characteristics), also are used methods based on wavelet theory for input data analyzing and practical results obtaining.

The interactive software system is student-centered and can be useful in their training during the educational process. The established physiological database can provide students the extensive information to enrich their knowledge and the software system can give them a preliminary experience of working with real physiological data.

Several series of physiological data (1-5 minutes) obtained from the cardiology department of a hospital in Veliko Tarnovo, Bulgaria are presented. Recordings are real and have been received through a patients monitoring device (24 hours) over a period of six months.
The research work of the team of young scientists on the processing, analysis, and storage of real data is presented. A comparison between the parameters of the physiological data and the characteristics of the individuals from whom they were obtained is given. A study was conducted using mathematical methods and practical conclusions were made.
Keywords:
Software systems, Physiological data, Mathematical methods, Data analysis.