Journal: Volume 25, No. 1, 2020
Pages: 12 – 18
DOI: https://doi.org/10.24025/2306-4412.1.2020.194630
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Development of software for biopotential analysis

Sergiy Filimonov, Dmytro Bacherikov, Oleksandr Batrachenko, Nadiia Filimonova
Received 08.10.2019
Revised 09.01.2020
Accepted 06.02.2020

Abstract

The paper provides biopotential analysis software that allows to measure, filter, display, and analyze bioelectric signals. In modern automated systems there are systems of biomanagement. These systems use bioelectric potentials as control signals, which is applicable in various fields. The largest application of biomanagement systems has been acquired in the fields of prosthetics, automation, sports and in the diagnostics of human condition. The main factors affecting the recording of human biopotentials are the intrinsic bioelectric potentials of the human body that are generated as a result of the work of human organs, and the alternating external electromagnetic fields from devices. To create the software, an integrated LabVIEW environment has been used. This LabVIEW software environment provides enhanced signal processing and analysis features. The main advantage of software implementation of filters is the ability to create a convenient signal processing system for laboratory testing and the relative ease of changing their parameters for current tasks. Software filtering is implemented by specialized software from the LabVIEW library – a platform and development environment for the graphical programming language. An example of a filtered signal and a block diagram of a developed program for analyzing biopotentials has been also given. Thus, the developed software for bioelectric potential analysis is more versatile due to the ability to customize the program on a computer. This will allow the development of medical devices based on the developed complex, in which biopotential is the main information signal. In addition, due to the developed software, it is possible to make measurements of bioelectric potentials of different nature, for example, the biopotentials of plants in the agro-industrial field

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Suggested citation

Filimonov, S., Bacherikov, D., Batrachenko, O., & Filimonova, N. (2020). Development of software for biopotential analysis . Bulletin of Cherkasy State Technological University, 25(1), 12-18. https://doi.org/10.24025/2306-4412.1.2020.194630