CONCEPTUAL APPROACHES TO THE ALGORITHMIZATION OF MONITORING PROCESSES OF THE INDICATORS OF THE STATE OF THE ORGANISM
Keywords:monitoring of the state of the organism,, conceptual model,, mobile medicine,, ompartmental approach, clustering, taxonomy, indicators of speed and acceleration of adaptive response indicators of organism, indicators of asynergism, synergistic models
Background. The approaches to the formation of personalized knowledge about the state and health of a person in the tasks of mobile medicine are considered. The range of conceptual and methodological approaches for assessing various parameters of the physical condition of the body and physical fitness of a person is analyzed.
Conclusions. It is proposed to use the parameters of the attractors of the cardiovascular system of the body on the basis of using the methods of the phase spaces of the patient's states. We also recommend new approaches to identify the parameters of the state vector of the human body in the multidimensional phase space of states for assessing and modeling the dynamics of the human cardiovascular system. The approaches are associated not only with the absolute value of various indicators, but also with the rate of change of the studied parameters, their accelerations under load, as well as with the indicators of synergy.
Mikhailov, N. Yu., Tolmachev, G. N., Shepelev, I. E. & Plyaka, P. S. (2008). Vysokochastotnye kolebaniya v signale pul'sovoi volny i ikh svyaz' s adaptatsionnymi reaktsiyami [High-frequency oscillations in the pulse wave signal and their connection with adaptation reactions]. Biofizika, 53(3), 482-487.
Zhilin, D. M. (2004). Teoriya system [Systems theory]. Moscow: URSS.
Lyakh, Yu. E., Gur'yanov, V. G. (2012). Matematicheskoe modelirovanie pri reshenii zadach klassifikatsii v biomeditsine [Mathematical modeling in solving problems of classification in biomedicine]. Ukrains'kii zhurnal telemeditsini ta medichnoi telematiki (Ukrainian Journal of Telemedicine and Medical Telematics), 10(2), 69-76.
Kozlova, V. V., Maistrenko, E. V., & Es'kov, V. M. (2009). Sravnitel'nyi analiz parametrov kvaziattraktorov povedeniya vektora sostoyaniya organizma trenirovannykh i netrenirovannykh studentov g. Surguta i g. Samary [Comparative analysis of the parameters of quasi-attractors of the behavior of the body state vector of trained and untrained students of Surgut and Samara]. Vestnik novykh meditsinskikh tekhnologii (Bulletin of new medical technologies), XVI(4), 136-138.
Makarenko, A. V., & Novosel'tsev, V. N. (2014). The synergy effect in the natural technologies of an organism. Automation and Remote Control, 75(2), 351-359. doi:10.1134/S0005117914020131.
Scafetta, N., Moon, R. E., & West, B. J. (2007). Fractal response of physiological signals to stress conditions, environmental changes, and neurodegenerative diseases. Complexity, 12(5), 12-17. doi:10.1002/cplx.20183.
Kimball, E. J., Rollins, M., Mone, M., Hansen, H. J., Baraghoshi, G. K., Johnston, C., ... Barton, R. G. (2006). Survey of intensive care physicians on the recognition and management of intra-abdominal hypertension and abdominal compartment syndrome. Crit. Care Med., 34(9), 2340-2348. doi: 10.1097/01. CCM.0000233874.88032.1C.
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