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Modification of the Functional State of Patients with Diabetes Mellitus II by Means of Neurofeedback with a Neural Network Assessment of the Activity of the Autonomic Nervous System
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| Author:
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FELIX PYATAKOVICH, TATYANA I. YAKUNCHENKO, KRISTINA F. MAKKONEN, OLGA A. OSIPOVA, OLGA V. MEVSHA
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| Abstract:
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This article discusses the possibility of a non-drug transformation of the neurodynamic activity of the brain with subsequent modification of the functional state of patients with diabetes mellitus II. The consideration of purposes and challenges realizes in the paradigm of application of the principles of hardware control by amplitude of alpha rhythm on base of biofeedback. For this a special biotechnical system “BOSLAB” manufactured in Novosibirsk was utilized. Before and after alpha-training, patients underwent a study of the state of psychological status according to the Spielberger test in the modification of Hanin. The state of activity of the autonomous nervous system was also investigated. Differentially diagnostic information represented in the individual dynamics of parameters of HRV was detected into recording of 500 interpulse intervals and following neural network analysis. This analysis was carried out by a special developed biotechnical system which operated by means of the back-propagation algorithm. The neural network provided the conclusion on six functional classes of the state of activity of the autonomous nervous system. The algorithm showed high recognition efficiency. Recognition sensitivity was 97.1% and recognition specificity, in other words, the ability to differential diagnosis of status activity autonomous nervous system was 83.3%. A total of 90 women with diabetes mellitus II complicated by hypertension II and coronary heart disease were examined. The level of statistical significance of the differences was calculated by means of the nonparametric Fisher criterion. During the first examination, a high level of situational anxiety and signs of autonomic neuropathy were revealed in all patients. It was shown that the first seance of alpha training, as a rule, was unsuccessful. Only by the fifth seance biofeedback training becomes successful, and by the tenth seance it became effective. An important sign of the effectiveness of the results of alpha-training is believed the alignment of the structure of the EEG rhythms, both the right and left hemispheres of the brain. The effectiveness of alpha training is added by a modification of the patient’s functional state on the background of the predominant influence in the regulation of cholinergic mechanisms with clinical correction of signs of encephalopathy and autonomic neuropathy.
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| Keyword:
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Spielberger test, HRV registration, biotechnical system “BOSLAB”, biofeedback, alpha-training, neural network analysis, successful and effectiveness of training.
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| EOI:
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| DOI:
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https://doi.org/10.31838/ijpr/2020.12.02.205
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