Systematic approach to the early diagnosis of dementia using a computer emulator of reflected hippocampal signals
S.V. Veretekhina, M.S. Smirnov, N.N. Smirnov, E.V. Potekhina, O.I. Kireeva
Upload the full text
Abstract: In the study the authors adopt a new systematic approach to the early diagnosis of dementia as part of the paramedical first aid system. The main task is to identify dementia at an early stage. The authors processed open statistical medical data. An algorithm for emulating reflected signals of hippocampal structures has been developed. The necessity of predictive modeling and development of a software module is substantiated. The research presents an analysis of existing foreign software solutions. A review of the requirements of medical standards was carried out. The environment of the software implementation of the “software emulator of hippocampal signals” is defined. The substantiation of the software implementation environment is carried out. The choice of hardware implementation tools was carried out. The stages of design are presented. The characteristics of hippocampal rhythms are described. A brief description of the differences in the indicators of electroencephalograms of ill and healthy patients is given. The process of designing the architecture of the emulator and the user interface is presented. Approaches to testing and debugging of the software module are described. The study presents an algorithm for emulating hippocampal signals. The algorithm emulates the readings of electroencephalograms of brain signals of the hippocampus of a healthy and ill person. The reverse reflected signals are taken according to medical standards from the T3-T6 sensors of the international recognizing system “10-20”. A software module has been developed and tested. The terms of reference for the design of the emulator is attached. The developed emulator is designed to facilitate medical research in the field of early diagnosis and detection of diseases of the brain. The use of the emulator is recommended for commercial projects using reflected signals of the hippocampal structure of the brain. The emulator is developed in Java and is cross-platform.
Keywords: system analysis, early diagnosis, modeling, dementia, paramedical first aid, hippocampus, emulator development, reflected signals
For citation. Veretekhina S.V., Smirnov M.S., Smirnov N.N., Potekhina E.V., Kireeva O.I. Systematic approach to the early diagnosis of dementia using a computer emulator of reflected hippocampal signals. News of the Kabardino-Balkarian Scientific Center of RAS. 2023. No. 4(114). Pp. 11–27. DOI: 10.35330/1991-6639- 2023-4-114-11-27
References
- Bozieva A.M., Dzamikhova F.Kh. A model of an intellectual system based on fuzzy logic in the tasks of assessing the activities of a higher educational institution. News of the KabardinoBalkarian Scientific Center of RAS. 2023. No. 1(111). Pp. 11–17. DOI: 10.35330/1991-6639-2023-1-111-11-17. (In Russian)
- Kotlyarova I.O. Artificial intelligence technologies in education. Bulletin of the South Ural State University. Series: Education. Educational Sciences. 2022. Vol. 14. No. 3. Pp. 69–82. DOI: 10.14529/ped220307. (In Russian)
- Veretekhina S.V. Method of calculation of sets of spare parts and accessories, exported high-tech products. Russian Economic Bulletin. 2021. Vol. 4(5). Pp. 108–121. (In Russian)
- Dubey S., Das S., Ghosh R. et al. The Effects of SARS-CoV-2 Infection on the Cognitive Functioning of Patients with Pre-Existing Dementia. J Alzheimers Dis Rep. 2023. Vol. 14. No. 7(1). Pp. 119–128. DOI: 10.3233/ADR-220090.
- Barzegaran E., Bosse S., J Kohler P. et al. EEGSourceSim: A framework for realistic simulation of EEG scalp data using MRI-based forward models and biologically plausible signals and noise. J Neurosci Methods. 2019. Vol. 328. P. 108377. DOI: 10.1016/j.jneumeth.2019.108377
- Smirnov N.N., Vertekhina S.V. Upravleniye razmerom vremennogo khraneniya dannykh prilozheniy pod upravleniyem operatsionnoy sistemy ANDROID [Controlling the size of temporary storage of application data under the control of the ANDROID operating system]. Certificate of registration of the computer program 202664694, 08/03/2022. Application No. 2022663283 dated 07/20/2022. (In Russian)
- Veretekhina S.V., Karmitsky K.S., Lukashin D.D. Programmirovaniye, testirovaniye, proyektirovaniye, neyroseti, tekhnologii appartno-programmnykh sredstv (prakticheskie zadaniya i spоsoby ikh resheniya) [Programming, testing, design, neural networks, hardware and software technologies (practical tasks and ways to solve them)]: textbook. Moskow: Direkt-Media, 2022. P. 144. (In Russian)
- Makeig S., Bell A.J., Jung T.-P. et al. Independent component analysis of electroencephalographic data. In: D. Touretzky, M. Mozer and M. Hasselmo (Eds). Advances in Neural Information Processing Systems. 1996. Vol. 8. Pp. 145–151. URL: https://sccn.ucsd.edu/~scott/pdf/ICA_NIPS96.pdf
- Niedermeyer E., Lopes da Silwa F. Electroencephalography. Basis, principles, clinical applications related fields. Philadelphia-Baltimore NY: Lippincott Williams & Wilkins, 2005. 1309 p.
- G. Ateski F.K., Ozdel O., Oguzhanoglu N.K. et al. Involuntary integration into a social network in patients with obsessive-compulsive disorder. 2014. Vol. 55(1). Pp. 137–144. DOI: 10.1016/j.comppsych.2013.08.007.
Information about the authors
Veretekhina Svetlana Valerievna, Candidate of Economics, Associate Professor, Doctoral Student of the Financial University under the Government of the Russian Federation, Russian State Social University;
129226, Russia, Moscow, 4 Wilhelm Pieck street, 1 Building;
125167, Russia, Moscow, 49/1 Leningradsky Avenue;
Veretehinas@mail.ru, ORCID: https://orcid.org/0000-0003-3014-5027
Smirnov Maxim Sergeevich, student, Russian State Social University;
129226, Russia, Moscow, 4 Wilhelm Pieck street, 1 Building;
makcims99@gmail.com, ORCID: https://orcid.org/0009-0005-5002-753Х
Smirnov Nikolay Nikolaevich, postgraduate student, Russian State Social University;
129226, Russia, Moscow, 4 Wilhelm Pieck street, 1 Building;
sheshire1711@gmail.com, ORCID: https://orcid.org/0000-0001-8918-1650
Potekhina Elena Vitalievna, Doctor of Economics, Professor, Russian State Social University;
129226, Russia, Moscow, 4 Wilhelm Pieck street, 1 Building;
elengapotechina@mail.ru, ORCID: https://orcid.org/0000-0002-7995-7424
Kireeva Olga Ilyinichna, Candidate of Physical and Mathematical Sciences, Associate Professor, Russian State Social University;
129226, Russia, Moscow, 4 Wilhelm Pieck street, 1 Building;
kireeva_oi@mail.ru, ORCID: https://orcid.org/0000-0002-6182-0868











