000 04227nla2a2200529 4500
001 657513
005 20231030041514.0
035 _a(RuTPU)RU\TPU\network\24043
035 _aRU\TPU\network\24042
090 _a657513
100 _a20180212a2016 k y0engy50 ba
101 0 _aeng
102 _aFR
105 _ay z 100zy
135 _adrcn ---uucaa
181 0 _ai
182 0 _ab
200 1 _aHomeostasis Properties of Dynamic Systems as Evaluation Method for the Functional State of Children
_fO. M. Gerget, Yu. A. Cherkashina
203 _aText
_celectronic
300 _aTitle screen
320 _a[References: p. 247 (6 tit.)]
330 _aThe model, criteria and the trajectory of the equilibrium balanced functioning of dynamic biological systems аre described in the paper. The concepts of system kinetic and potential energy for the description of the metabolic processes in biological systems are included. Metabolic processes in the biosystem are associated with the consumption of kinetic energy to perform work (property of reactivity) and recover of potential energy (reserve capacity of the organism). System model, which reflects the energyexchange processes in the organism and allows obtaining an adequate assessment of the state of biological systems, is shown in the work. The magistral method for the analysis of biological systems in their balanced equilibrium motion is presented. Macroparameters which evaluate not only rate of state variables, but also the nature of the system stress state have been developed. Estimates characterizing the elastic properties of the organism were obtained. Comprehensive approach of functional assessment is proposed. It provides an opportunity to detect and prevent not only diseases, but also the state on the verge of norm and pathology, which is especially important for young children. An illustrative example is presented and the results are analyzed. The deterioration of the organism's homeostatic properties indicates the appearance of defects in the internal structure of the biosystem. Therefore, a signal about violation of homeostatic properties can be used for diagnostic and prognostic purposes.
461 1 _0(RuTPU)RU\TPU\network\18167
_tAdvances in Computer Science Research
463 0 _0(RuTPU)RU\TPU\network\18169
_tVol. 51 : Information Technologies in Science, Management, Social Sphere and Medicine (ITSMSSM 2016)
_oIII International Scientific Conference, May 23-26, 2016, Tomsk, Russia
_o[proceedings]
_fNational Research Tomsk Polytechnic University (TPU) ; eds. O. G. Berestneva, A. Tikhomirov, A. Trufanov
_v[P. 243-247]
_d2016
610 1 _aэлектронный ресурс
610 1 _aтруды учёных ТПУ
610 1 _ahomeostasis
610 1 _athe organisms tension
610 1 _adynamic susceptibility
610 1 _amagistral approach
610 1 _aenergy-exchange approach
610 1 _amodeling
610 1 _aclassification
610 1 _aнапряженность
610 1 _aорганизм
610 1 _aвосприимчивость
610 1 _aобмен энергии
610 1 _aмоделирование
610 1 _aклассификация
610 1 _aдинамические системы
610 1 _aгемеостаз
700 1 _aGerget
_bO. M.
_cSpecialist in the field of informatics and computer technology
_cAssociate Professor of Tomsk Polytechnic University, Candidate of technical sciences
_f1974-
_gOlga Mikhailovna
_2stltpush
_3(RuTPU)RU\TPU\pers\31430
701 1 _aCherkashina
_bYu. A.
_cspecialist in the field of informatics and computer technology
_cprogrammer of Tomsk Polytechnic University
_f1991-
_gYuliya Andreevna
_2stltpush
_3(RuTPU)RU\TPU\pers\36279
712 0 2 _aНациональный исследовательский Томский политехнический университет
_bИнженерная школа информационных технологий и робототехники
_bОтделение информационных технологий
_h7951
_2stltpush
_3(RuTPU)RU\TPU\col\23515
801 2 _aRU
_b63413507
_c20180212
_gRCR
856 4 _uhttp://dx.doi.org/10.2991/itsmssm-16.2016.80
942 _cCF