Articolul precedent |
Articolul urmator |
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SM ISO690:2012 SIDORENKO, Ludmila, SIDORENKO, Irina. Methods for Identification of Artificial Networks in the Central Nervous System based on Advanced Cardiorhythmogram Analysis. In: NANO-2019: Limits of Nanoscience and Nanotechnologies, Ed. 2019, 24-27 septembrie 2019, Chişinău. Chișinău, Republica Moldova: 2019, p. 15. |
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NANO-2019: Limits of Nanoscience and Nanotechnologies 2019 | ||||||
Conferința "SPINTECH Summer school “S/F Hybrid Structures for Spintronics”" 2019, Chişinău, Moldova, 24-27 septembrie 2019 | ||||||
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Pag. 15-15 | ||||||
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Rezumat | ||||||
Humanity in 21-st century lives now in the era of information, when we are overcrowded by it. To our brain streams a huge amount of information and advertising of consume market leads to artificial wishes, new artificial values, new artificial central networks. A central network is a functional system of neuronal groups in the central nervous system, created temporary in order to fullfill a wish, a task, an aim (Ukhtomski A.). The problem is that these artificial networks get in conflict with the basic vital networks and with own wishes of the individual (1). It leads to an increasing inner conflict. It finds its manifestation in form of endogenous stress, aggressive behavior, and people enter in chronic stress, depressions, and finally it leads to functional disorders of heart rhythm which in future develop to arrhythmias [2, 3]. Hence, on the one hand of great importance are methods for an early recognizing of functional disorders of heart rhythm, before they progress in arrhythmias (Runge J. et al.). But on the other hand we need physiological methods [3] of correction of this state, because it is not yet a disease, so pharmacological treatment is not effective, even contraindicated. |
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