Математические модели прогнозирования и ранней диагностики заболеваний, провоцируемых электромагнитными полями радиочастотного диапазона малой интенсивности
Работая с нашим сайтом, вы даете свое согласие на использование файлов cookie. Это необходимо для нормального функционирования сайта, показа целевой рекламы и анализа трафика. Статистика использования сайта отправляется в «Яндекс» и «Google»
Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Mathematical models for predicting and early diagnosis of diseases caused by electromagnetic fields of low-frequency radio frequency range

idKorenevsky N.A. Titova A.V.   idGovorukhina T.N. Mednikov D.A.  

UDC 616.5-002.4
DOI: 10.26102/2310-6018/2020.29.2.032

  • Abstract
  • List of references
  • About authors

The paper proposes mathematical models for predicting and diagnosing diseases provoked by exposure to electromagnetic fields of the radio frequency range, which make it possible to control the current state of a person in order to make further decisions about possible correction of body functions, if necessary. Given the incomplete and fuzzy description of the studied class of diseases, soft computing technology was chosen as the basic mathematical apparatus, and, in particular, the synthesis methodology of hybrid fuzzy decision rules, which has proven itself in solving problems with a similar data structure and type of uncertainty. The selected synthesis method allows us to take into account the multiplicative effect of exposure to the human body of electromagnetic fields (EMF) of various modality and intensity, taking into account other endogenous and exogenous risk factors. For powerful and stable EMFs, it is proposed to use a modification of well-known models obtained for industrial power grids. To assess the effect of low-intensity, unstable electromagnetic fields of the radio frequency range on the human body, it is proposed to use fuzzy tabular models and a number of indicators sensitive to the action of the electromagnetic field of the radio frequency range. Such indicators include the state of attention, memory, thinking, as well as the dynamics of changes in the energy state of biologically active points associated with the pathology under study. On the example of electric train drivers, mathematical models for predicting and early diagnosis of the appearance and development of diseases of the nervous system are obtained. It is shown that if additional information about the health status of the subjects is used with electromagnetic risk factors, then confidence in the correct prognosis reaches 0.85, and in the presence of early stages of diseases of the nervous system - 0.95.

1. Rucova YU.P., S.YU. Perov, E.V. Bogacheva Problema izucheniya vliyaniya elektromagnitnyh polej na zdorov'e cheloveka. Itogi i perspektivy. Medicina truda i promyshlennaya ekologiya. 2013;6:35-40.

2. Grigor'ev, YU.G., Grigor'ev O.A. Sotovaya svyaz' i zdorov'ya: elektromagnitnaya obstanovka, radiobiologicheskie i gigienicheskie problemy, prognoz opasnosti. M.: Ekonomika. 2013.

3. Viharev, A.P. Vliyanie sotovoj svyazi na zdorov'e pol'zovatelya. Nauka – proizvodstvo – tekhnologii – ekologiya: sbornik materialov konferencii. Kirov. 2004;4:181-182.

4. Nikitina, V.G., Lyashko G.G., Necheporenko E.YU. i dr. Elektromagnitnaya obstanovka na rabochih mestah s PEVM. Problemy bezopasnosti personala. Ezhegodnik Ross. nac. kta po zashchite ot neioniziruyushchih izluchenij za 2011 god. Sb. Trudov. M.: Centr elektromagnitnoj bezopasnosti. 2012:131-137.

5. Myasoedova, M.A., Korenevskij N.A., Starodubceva L.V., Pisarev M.V. Matematicheskie modeli ocenki vliyaniya elektromagnitnyh polej na poyavlenie i razvitie professional'nyh zabolevanij v elektroenergeticheskoj otrasli. Modelirovanie, optimizaciya i informacionnye tekhnologii. 2019;7(2):27-42.

6. Korenevskij N.A., Myasoedova M.A., Razumova K.V., Serebrovskij A.V.Metod sinteza matematicheskih modelej prognozirovaniya i diagnostiki professional'nyh zabolevanij rabotnikov predpriyatij elektroenergetiki. Izvestiya YUgo-Zapadnogo gosudarstvennogo universiteta. Seriya: Upravlenie, vychislitel'naya tekhnika, informatika. Medicinskoe priborostroenie. 2019;9(2):127-143.

7. Lomov, O.P., Ahmetzyanov I.M., Greben'kov S.V., Levashov S.P., Terent'ev L.P. Gigienicheskie normativy. Fizicheskie faktory okruzhayushchej i proizvodstvennoj sfery: spravochnik. M.: Professional. 2011.

8. SanPiN 2.2.4.1191 – 03 Elektromagnitnye polya v proizvodstvennyh usloviyah.

9. GOST 12.1.006-84 Sistema standartov bezopasnosti truda (SSBT). Elektromagnitnye polya radiochastot. Dopustimye usloviya na rabochih mestah i trebovaniya k provedeniyu kontrolya.

10. Safonov, V.O. Ekspertnye sistemy – intellektual'nye pomoshchniki specialistov. SPb.: Sankt-Peterburgskaya organizaciya obshchestva «Znaniya» Rossiya. 1992.

11. Dzharratano, DZH., Rajli G. Ekspertnye sistemy: principy razrabotki i programmirovaniya. Vil'yams. 2007.

12. Dyuk, V., Emanuel' V. Informacionnye tekhnologii v mediko-biologicheskih issledovaniyah. SPb: Piter, 2003.

13. Korenevskij N.A Principy i metody postroeniya interaktivnyh sistem diagnostiki i upravleniya sostoyaniem zdorov'ya cheloveka na osnove polifunkcional'nyh modelej. Avtoreferat dissertacii na soiskanie uchenoj stepeni doktora tekhnicheskih nauk. SanktPeterburg. 1993.

14. Korenevskiy N.A., Krupchatnikov R.A., Gorbatenko S.A. Generation of fuzzy network models taught on basic of data structure for medical expert systems. Biomedical Engineering. 2013;42(2):67-72.

15. Korenevskiy N.A. Application of logic for decision-making in medical expert systems. Biomedical Engineering. 2015;49(1):46- 49.

16. Korenevskij N.A., SHutkin A.N., Gorbatenko S.A., Serebrovskij V.I.Ocenka i upravlenie sostoyaniem zdorov'ya obuchayushchihsya na osnove gibridnyh intellektual'nyh tekhnologij. Staryj Oskol: TNT. 2016.

17. Korenevskij N.A., Rodionova S.N., Hripina I.I. Metodologiya sinteza gibridnyh nechetkih reshayushchih pravil dlya medicinskih intellektual'nyh sistem podderzhki prinyatiya reshenij. Staryj Oskol: TNT, 2019.

18. Korenevskij N.A Metodologiya sinteza geterogennyh nechetkih pravil dlya analiza i upravleniya sostoyaniem biotekhnicheskih sistem. Izvestiya YUgo-Zapadnogo gosudarstvennogo universiteta. Seriya: Upravlenie, vychislitel'naya tekhnika, informatika. Medicinskoe priborostroenie. 2013;2:99-103.

19. Korenevskij N.A. Proektirovanie nechetkih reshayushchih setej, nastraivaemyh po strukture dannyh dlya zadach medicinskoj diagnostiki. Sistemnyj analiz i upravlenie v biomedicinskih sistemah. 2005;4(1):12-20

20. Korenevskij N.A., Krupchatnikov R.A., Al'-Kasasbekh R.T. Teoreticheskie osnovy biofiziki akupunktury s prilozheniyami v medicine, psihologii i ekologii na osnove nechetkih setevyh modelej. Staryj Oskol: TNT. 2013.

21. Govoruhina T.N., Myasoedova M.A., Grigrov I.YU., Polyakov A.V. Matematicheskie modeli prognozirovaniya i rannej diagnostiki zabolevanij nervnoj sistemy, provociruemyh kombinirovannym vozdejstviem raznorodnyh faktorov riska. Sistemnyj analiz i upravlenie v biomedicinskih sistemah. 2019;18(2):110-116

22. Myasoedova M.A., Starodubceva L.V., Titova A.V., SHul'ga P.V. Matematicheskie modeli prognozirovaniya i rannej diagnostiki zabolevanij nervnoj sistemy u rabotnikov elektroenergeticheskih predpriyatij. Izvestiya YUgo-Zapadnogo gosudarstvennogo universiteta. Seriya: Upravlenie, vychislitel'naya tekhnika, informatika. Medicinskoe priborostroenie. 2019;9(3):160-172.

23. Myasoedova M.A. Prognozirovanie i rannyaya diagnostika professional'nyh zabolevanij rabotnikov elektroenergeticheskoj otrasli na osnove gibridnyh nechetkih modelej. Diss. kand. tekhn. nauk. Kursk. 2019.

24. Korenevskij N.A., Krupchatnikov R.A., Informacionno-intellektual'nye sistemy dlya vrachej refleksoterapevtov: monografiyam – Staryj Oskol: TNT. 2013.

25. . Koneva L.V., Koneva L.V., Korenevskaya S.N., Degtyarev S.V. Ocenka urovnya psihoemocional'nogo napryazheniya i utomleniya po pokazatelyam, harakterizuyushchim sostoyanie vnimaniya cheloveka. Sistemnyj analiz i upravlenie v biomedicinskih sistemah. 2012;11(4):993-1000

26. Shutkin A.N. Ocenka urovnya psihoemocional'nogo napryazheniya na osnove kombinirovannyh nechetkih modelej i modeli G. Rasha. Sistemnyj analiz i upravlenie v biomedicinskih sistemah. 2014;14(3):593-600.

27. N. Korenevskiy, Riad Al-Kasasbeh, F. Ionescou, Anrew P. Smit Fuzzy determination of the humans level of psycho-emotional «Mega-Conference on Biomedical Enginering» Proceedings of the 4th -international conference in the development of biomedical engineering Ho Chi Min city Vietnam January 8-12, 2012:354-357.

28. Korenevskiy N., Al-Kasasbeh R.T., Alshamasin M., Ionescouc F., Alkasasbeh E., Smith A.P. Fuzzy determination of the human's level of psycho-emotional. IFMBE Proceedings "4th International Conference on Biomedical Engineering in Vietnam" 2013:213-216.

29. Korenevskij N.A., Skopin D.E., Riad Taha Al"-Kasasbekh, Kuz'min A.A. Kompleks dlya issledovaniya osobennostej vnimaniya i pamyati. Medicinskaya tekhnika. 2010;1(259):36- 40.

30. Korenevskaya S.N., SHkatova E.S., Magerovskij M.A., SHutkin A.N. Apparatnoprogrammnyj kompleks dlya psihofiziologicheskih issledovanij na baze platformy Android s AFE-interfejsom. Medicinskaya tekhnika. 2016;5:24-27.

31. Korenevskiy N.A., Scopin D.E., Al Kasasbeh R.T., Kuz’min A.A. System for studying specific features of attention and memory. Biomedical Engineering. 2010;44(1):32-35

32. Polyakov A.V. Rodionova S.N., Filippov S.V. Apparatno-programmnyj kompleks dlya ocenki i reabilitacii funkcii vnimaniya i pamyat'. XXXII Vserossijskaya nauchnotekhnicheskaya konferenciya studentov, molodyh uchenyh i specialistov «Biomedsistemy 2019», Ryazan' 2019:75-78.

33. Plotnikov V.V., Korenevskij N.A., Zabrodin YU.M. Avtomatizaciya metodik psihologicheskogo issledovaniya: Principy i rekomendacii. Orel: institut psihologii ANSSR, VNIIOT Gosagroprogramma Sr, 1989.

34. Polyakov A.V., Korzhuk N.L., Rodionova S.N., Nikolaeva E.A. Prognozirovanie poyavleniya i razvitiya rasstrojstv kognitivnyh funkcij vnimaniya v processe trudovoj deyatel'nosti operatorov informacionno-nasyshchennyh cheloveko-mashinnyh sistem. Izvestiya YUgo-Zapadnogo gosudarstvennogo universiteta. Seriya: Tekhnika i tekhnologii. 2019;9(2):102-116.

35. Polyakov A.V., Rodionova S.N., Koruk N.L., Starodubceva L.V. Diagnostika rannih stadij kognitivnyh narushenij vnimaniya na osnove gibridnyh nechetkih reshayushchih pravil. Modelirovanie, optimizaciya, informacionnye tekhnologii. 2019;7(4). Dostupen po : https://moit.vivt.ru/wp-content/uploads/2019/11/PolyakovSoavtors_4_19_1.pdf DOI: 10.26102/2310-6018/2019.27.4.031 (data obrashcheniya 11.06.2020)

36. Titov V.S., Sapitonova T.N. Klassifikaciya funkcional'nogo sostoyaniya cheloveka i nechetkaya ocenka ih urovnya. Izvestiya YUgo-Zapadnogo gosudarstvennogo universiteta. 2012;2(3):320-324.

37. Korenevskij N.A. Gibridnye nechetkie modeli ocenki funkcional'nogo sostoyaniya i sostoyaniya zdorov'ya cheloveka-operatora informacionno-nasyshchennyh sistem. Sistemnyj analiz i upravlenie v biomedicinskih sistemah. 2019;18(2):105-109.

38. Shkatova E.S., Magerovskij M.A., Muhatiev YU.B. Ocenka funkcional'nogo sostoyaniya i funkcional'nogo rezerva organizma po energeticheskoj sbalansirovannosti meridiannyh struktur. Sbornik nauchnyh trudov po materialam VIII mezhdunarodnoj nauchnoprakticheskoj konferencii «Sovremennye tendencii razvitiya tekhniki i tekhnologii». Belgorod, 2015. CH. II. 8:132-135.

39. YAcun S.F., Bojcov A.V. Nechetkaya ocenka urovnya funkcional'nogo rezerva cheloveka. Izvestiya YUgo-Zapadnogo gosudarstvennogo universiteta. Seriya: Upravlenie, vychislitel'naya tekhnika, i informatika. Medicinskoe priborostroenie. 2012; 2(3):271-275.

40. Korenevskij N.A., Korostelev A.N. Primenenie geterogennyh nechetkih modelej dlya kompleksnoj ocenki urovnya funkcional'nogo rezerva chelovek. Vestnik Voronezhskogo gosudarstvennogo tekhnicheskogo universiteta. 2011;7(8):142-147.

41. Korenevskij N.A., Nechaev E.V., Bojcova E.A. Kompleksnaya ocenka urovnya funkcional'nyh rezervov organizma cheloveka na osnove modelej prinyatiya reshenij. Biomedicinskaya radioelektronika. 2010;2:30-30.

42. . Korenevskij N.A., Korostelev A.N., Starodubceva L.V., Serebrovskij V.V. Metod ocenki funkcional'nogo rezerva cheloveka-operatora no osnove kombinirovannyh pravil nechetkogo vyvoda. Biotekhnosfera. 2012;1(19): 44-49.

43. Korenevskij N.A., Avilova I.A. Magnitnye i elektromagnitnye polya kak ekologicheskij faktor vneshnej i proizvodstvennoj sredy. Materialy mezhdunarodnoj NTK «Problemy regional'noj ekologii»: Izrail', Tel'-Aviv, 1999:28-31.

44. Korenevskij N.A., Rodionova S.N., Govoruhina T.N., Myasoedova M.A. Nechetkie modeli ocenki urovnya ergonomiki tekhnicheskih sistem i eyo vliyanie na sostoyanie zdorov'ya cheloveka-operatora s uchetom funkcional'nogo rezerva ego organizma. Modelirovanie, optimizaciya i informacionnye tekhnologii. 2019;7(1):39-53.

45. Korenevskij N.A. Serebrovkij V.I., Kopteva N.A., Govoruhina T.N. Prognozirovanie i diagnostika zabolevanij, vyzyvaemyh vrednymi proizvodstvennymi i ekologicheskimi faktorami na osnove geterogennyh. Kursk: Izd-vo Kursk. gos. s.-h. ak, 2012.

46. Korenevskij N.A., Stepashov R.V., Serebrovskij A.V., Govoruhina T.N. Ispol'zovanie tekhnologij myagkih vychislenij dlya prognozirovaniya i diagnostiki professional'nyh zabolevanij rabotnikov agropromyshlennogo kompleksa: monografiya. Kursk: KGSKHA, 2016: 224.

47. Al-Kasasbeh R.T., Alshamasin M.S., Korenevskiy N., Maksim I. Method of ergonomics assessment of technical systems and its influence on operators heath on basis of hybrid fuzzy models. Advances in Intelligent Systems and Computing. 2018;590:581-592.

48. Al-Kasasbeh R.T., Alshamasin M.S., Korenevskiy N., Korenevskya S., Al-Kasasbeh E.T., Maksim I. Fuzzy model evaluation of vehicles ergonomics and its influence on occupational diseases. Advances in Intelligent Systems and Computing. 2019;792:143-154.

49. Al-Kasasbeh R., Korenevskiy, N., Ionescou, F., Alshamasin M. Kuzmin, A. Synthesis of fuzzy logic for prediction and medical diagnostics by energy characteristics of Acupuncture Points. Journal of acupuncture and Meridian Studies Korea. 2011;4(3):175-182

50. Al-Kasasbeh R., Nikolay Korenevskiy, Mahdi Alshamasin : Bioengineering system for prediction and early Prenosological diagnostics of Stomach Diseases Based on ENergy Characteristics of bioactive Points with Fuzzy Logic, 2nd Biomedical Engineering Conference and Expo November 30-December 01, San Antonio, USA, 2015

51. Al-Kasasbeh, R.T., Korenevskiy N.A., Alshamasin M., Ionescou F., Smith A. Prediction of gastric ulcers based on the change in electrical resistance of acupuncture points using fuzzy logic decision-making. Computer Methods in Biomechanics and Biomedical Engineering. 2013;16(3):301-313.

52. Al-Kasasbeh, R., Korenevskiy, N., Ionescu, F., Alshamasin M., Smith, A.P. Alwadie, A. Biotechnical measurement and softwaresystem for the prediction and diagnosis of osteochondrosis of the lumbar region with the use of fuzzy logic rules. Biomedizinische Technik, 2013;1:51-65.

53. Al-Kasasbeh, R.T, Ionescu F,. Korenevskiy N. A., Mahdi S. Prediction and Prenosological Diagnostics of Gastroinestinal Tract Diseases Based on Energy Characteristics of Acupucture Points and Fuzzy Logic, Proc. 3rd International Conference on Bioinformatics and Biomedical Technology, Sanya, China, March 25-27, 2011

54. Korenevskij N.A., Polyakov A.V., Rodionova S.N., Govoruhina T.N. Metod sinteza matematicheskih modelej prognozirovaniya i rannej diagnostiki narushenij kognitivnyh funkcij. Sistemnyj analiz, upravlenie v biotekhnicheskih sistemah. 2019;18(4):85-92.

Korenevsky Nikolay Alekseevich
Doctor of Technical Sciences Professor
Email: kstu-bmi@yandex.ru

ORCID |

South-West State University

Kursk, Russian Federation

Titova Anna Vladimirovna

Email: nyatarrr@yandex.ru

South-West State University

Kursk, Russian Federation

Govorukhina Tatyana Nikolaevna
Candidate of Technical Sciences
Email: govtn@mail.ru

ORCID |

South-West State University

Kursk, Russian Federation

Mednikov Dmitry Andreevich

Email: kstu-bmi@yandex.ru

South-West State University

Kursk, Russian Federation

Keywords: chronic obliterating diseases of lower limbs, theory of latent variables measurement, optimal treatment regimens, forecasting

For citation: Korenevsky N.A. Titova A.V. Govorukhina T.N. Mednikov D.A. Mathematical models for predicting and early diagnosis of diseases caused by electromagnetic fields of low-frequency radio frequency range. Modeling, Optimization and Information Technology. 2020;8(2). Available from: https://moit.vivt.ru/wp-content/uploads/2020/05/KorenevskySoavtors_2_20_1.pdf DOI: 10.26102/2310-6018/2020.29.2.032 (In Russ).

564

Full text in PDF