Remote patient monitoring based on the agent–group–role concept

Authors

  • Natalia G. Axak The Department of Electronic Computers of Kharkiv National University of Radio Electronics, Kharkiv, Ukraine
  • Mykola M. Korablyov The Department of Electronic Computers of Kharkiv National University of Radio Electronics, Kharkiv, Ukraine

DOI:

https://doi.org/10.20535/SRIT.2308-8893.2018.3.01

Keywords:

diagnostics, remote monitoring, organizational multi-agent system, agent, group, role

Abstract

A multi-agent system for remote assessment of a person's health status was developed using the example of monitoring the patient's blood pressure. The system allows us to respond urgently to a critical change in patient's health status in order to provide emergency medical care. A method for coordinating agents in the system of assessing the person's condition is proposed, which allows for each registered patient to distribute tasks among agents for the timely detection and elimination of critical health conditions of the patient. To describe the multi-agent system, the Agent-Group-Role concept was used, which allowed the development of an adaptive organizational model for the remote monitoring process. The analysis of the data obtained during the monitoring of the patient's health was carried out using the Leadsto Editor software modeling.

Author Biographies

Natalia G. Axak, The Department of Electronic Computers of Kharkiv National University of Radio Electronics, Kharkiv

Natalia Axak,

Ph.D., an associate professor at the Department of Electronic Computers of Kharkiv National University of Radio Electronics, Kharkiv, Ukraine.

Mykola M. Korablyov, The Department of Electronic Computers of Kharkiv National University of Radio Electronics, Kharkiv

Mykola Korablyov,

Dr. of Eng. Sci., an associate professor at the Department of Electronic Computers of Kharkiv National University of Radio Electronics, Kharkiv, Ukraine.

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Published

2018-10-16

Issue

Section

Progressive information technologies, high-efficiency computer systems