Next Article in Journal
A Systematic Study on Electromyography-Based Hand Gesture Recognition for Assistive Robots Using Deep Learning and Machine Learning Models
Next Article in Special Issue
Cardiotocography in Obstetrics: New Solutions for “Routine” Technology
Previous Article in Journal
Multi-Sensor Fusion by CWT-PARAFAC-IPSO-SVM for Intelligent Mechanical Fault Diagnosis
 
 
Article

Digital Identification of the Human Condition as a Prerequisite for the Effectiveness of the Organizational Automation (Biocybernetic) Systems Operation

1
Power Engineering Faculty, South Ural State University, 454080 Chelyabinsk, Russia
2
Department of Chemistry, Institute of Natural Sciences, South Ural State University, 454080 Chelyabinsk, Russia
*
Author to whom correspondence should be addressed.
Academic Editor: Han-Chieh Chao
Sensors 2022, 22(10), 3649; https://doi.org/10.3390/s22103649
Received: 7 March 2022 / Revised: 2 May 2022 / Accepted: 7 May 2022 / Published: 11 May 2022
(This article belongs to the Special Issue New Trends in Automated Control Systems for Biomedical Application)
The article deals with the problems of improving modern human-machine interaction systems. Such systems are called biocybernetic systems. It is shown that a significant increase in their efficiency can be achieved by stabilising their work according to the automation control theory. An analysis of the structural schemes of the systems showed that one of the most significantly influencing factors in these systems is a poor “digitization” of the human condition. “Digitization” here is the identification of a person as a participant in the interaction with a cybernetic or cyber-physical system. The main problem of a biocybernetic system construction is the non-stationarity of such human characteristics as time of the reaction to external disturbances, physical or nervous fatigue, the ability to perform the required amount of work, etc. At the same time, as a rule, there is no objective assessment of this non-stationarity. Under these conditions, ensuring the controllability and efficiency of biocybernetic systems is a very difficult task. It is proposed to solve this problem with the help of electrocardiogram signals: the most accessible and accurate information about a human’s current state. Herein, several examples of such solutions and the results of theoretical studies and experiments are discussed. View Full-Text
Keywords: human-machine interaction; biocybernetic; structural analysis; ECG; ECG isoline; the physiological state human-machine interaction; biocybernetic; structural analysis; ECG; ECG isoline; the physiological state
Show Figures

Figure 1

MDPI and ACS Style

Kodkin, V.L.; Artem’eva, E.V. Digital Identification of the Human Condition as a Prerequisite for the Effectiveness of the Organizational Automation (Biocybernetic) Systems Operation. Sensors 2022, 22, 3649. https://doi.org/10.3390/s22103649

AMA Style

Kodkin VL, Artem’eva EV. Digital Identification of the Human Condition as a Prerequisite for the Effectiveness of the Organizational Automation (Biocybernetic) Systems Operation. Sensors. 2022; 22(10):3649. https://doi.org/10.3390/s22103649

Chicago/Turabian Style

Kodkin, Vladimir L., and Ekaterina V. Artem’eva. 2022. "Digital Identification of the Human Condition as a Prerequisite for the Effectiveness of the Organizational Automation (Biocybernetic) Systems Operation" Sensors 22, no. 10: 3649. https://doi.org/10.3390/s22103649

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop