HIGH-PRODUCT METHODS AND INFORMATION TECHNOLOGIES FOR MODELING AND IDENTIFICATION OF THE PARAMETERS OF ABNORMAL MOVEMENTS UNDER THE INFLUENCE OF REFUSED COGNITIVE INFLUENCES
DOI:
https://doi.org/10.32782/mathematical-modelling/2022-5-1-9Keywords:
neurological movements, tremor, mathematical modeling, cognitive feedback, abnormal movement, graphics tablet, electroencephalogram, diagnosis, Fourier-hybrid transform, hardware and software, computer simulationAbstract
New modeling techniques are used to provide an approach to the design of digital health diagnostic systems for patients with neurological diseases. An urgent task is the creation of new software and hardware solutions for medicine and automated diagnostic systems for identifying new phenomena of the body and human health. It is important to study neuro-bio-systems with feedback, related to the analysis of the state and behavior of T-objects (patients with signs of tremor) under the cognitive influence of neural nodes of the cerebral cortex. In modern conditions, special attention is paid to new digital systems of diagnosis and treatment in medical applications. The designed mathematical model of the nanomedical system is focused on determining the parameters of abnormal movements of patients with tremor symptoms (T-objects), caused by the negative effects of a certain set of nerve nodes of the cerebral cortex. Determining the parameters of these influences will outline ways to solve the problem. Authors described the models of the signals received as input data for processing (drawing of the patient of the Archimedes-spiral test), analyzed the accuracy and efficiency of the methods of computerized analysis of the degree of tremor. The main modeling results are described, frequency characteristics, oscillation amplitudes, deviations from the norm and other indicators are obtained. A highly effective information technology has been developed for the evaluation of neurological movements of a person based on a hybrid model of wave signal analysis taking into account the cognitive feedback of cerebral cortex neuronodes. With the use of hybrid Fourier transformations, a fast analytical solution of the model in vector form was implemented, which allows determining the elements of movements on each segment of a complex spiral trajectory performed by the patient using an electronic pen on a digital tablet. , and identified the parameters of the studied neurosystems with feedback.
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