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Головне меню

Scientific seminar "Development of the latest methods and software on the basis of artificial intelligence for the diagnosis of human neurological movements and support of its normal states"

On June 12, 2019, the Institute of Artificial Intelligence Problems of the Ministry of Education and Science and the National Academy of Sciences of Ukraine hosted a scientific seminar on "Development of new methods and software based on artificial intelligence for diagnosing human neurological movements and maintaining normal conditions", which was attended by scientists of the Institute and scientists from Ternopil Ivan Pului National Technical University (Doctor of Physical and Mathematical Sciences, Professor, Head of the Department of Software Engineering Petryk M.R. and Associate Professor of the Department of Software Engineering, Ph.D. Mykhalyk D.M.).

Report of Professor Petryk M.R. "Complex hybrid model and interactive tablet for registration and analysis of abnormal neurological movements" was devoted to the study of one of the current problems of world medicine and neurology - the development of new methods for diagnosing tremor. According to the WHO, today more than 100 million people on the planet, the vast majority of people over the age of 50, suffer from diseases (Alzheimer's disease, Parkinson's disease, etc.) caused by disorders of the nervous system, accompanied by trembling limbs, eyelids and other elements of the human body. To date, not all factors that specifically cause tremor and nervous system disorders have been fully studied. The main ones can be various hereditary genetic disorders, harmful effects of the environment and anthropogenic factors, poor nutrition, injuries, lifestyle and others.

Today, the leading neurological centers of the European Union, in particular the National Center for Neurology in France, which holds a leading position in this field, are developing research on effective means of digital diagnosis based on artificial intelligence and effective means of complex therapy of essential tremor, including patients without adaptation internal intervention.

Achieving these goals requires time and resources and the integration of scientists from many countries. A number of European research programs are already focused on these goals, in particular the Horizon 2020 and Horizon Europe Programs.

Based on the analysis, the staff of the Department of Software Engineering Ternopil Ivan Pului National Technical University  in collaboration with French scientists of the National Center for French Studies CNRS, specialized laboratories of the University of Pierre and Marie Curie (Paris 6), ESPCI Paris, ICM Institute for Brain and Spinal Cord under the leadership of world-renowned scientists - Professors Marie Vidae, Emmanuel Appartis and Andre-Pierre Legrand developed methods and software based on mobile platforms for digital diagnosis of these types of neurological diseases. This allows the doctor performing the diagnosis to use a tablet with an electronic pen to record digital images of the patient's movements undergoing a specific test. Test data online software, using the developed application, are processed on the basis of specially proposed techniques for processing digital signals that characterize the degree of deviation from the test trajectories of the patient's limb. The result of such actions is a highly accurate diagnosis that establishes the real condition and the necessary indicators of the patient's morbidity.

The next step is to create the latest tools for diagnosing more complex forms of this critical disease - abnormal neurological movements. This requires more systematic methods and models of diagnosis based on the so-called hybrid methods of integral Fourier transforms, which take into account the specifics of complex 3D movements. By multicomponent decomposition, such a complex task can be reduced to a more accurate analysis of the most critical parts of the abnormal neurological movements.

The use of the proposed specialized helmet for diagnosing abnormal neurological movements, which is worn on the patient's head during the abnormal neurological movements test, equipped with EEG sensors, makes it possible to determine the cognitive effects (EEG waves) of major neuronodes of the cerebral cortex on areas of the abnormal neurological movements tracks. Further research using this abnormal neurological movements model and the proposed computer hardware (tablet with an electronic pen equipped with a microaccelerometer for 3D registration and abnormal neurological movements helmet equipped with EEG sensors) allows systematic identification of the kinetic parameters of digital images for each element ANM-tracks, establishing their corresponding correlations with the elements of cognitive waves coming from the EEG sensors of neuronodes.

With this information, doctors may prescribe microlevel therapy in the area of those identified critical neuronodes in order to achieve the required reduction in amplitudes for the entire ANM system throughout the movement period.

As an effective means of such point microtherapy, we can offer a helmet developed by the team of the Institute of Artificial Intelligence Problems under the leadership of the corresponding member of NAS, Professor Anatoly Shevchenko. Combining the functions of diagnostics and point microneurotherapy in one helmet will make it possible to carry out complex diagnostics and point therapy in real time, providing effective feedback.

The Institute of Artificial Intelligence Problems scientists shared their scientific achievements. They demonstrated an intelligent helmet used to relax a person who had previously been in extreme conditions.

The result is an agreement on further cooperation on a joint research project concluded between the Institute of Artificial Intelligence Problems of the Ministry of Education and Science and the National Academy of Sciences of Ukraine and Ternopil Ivan Pului National Technical University.

 

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