Issues

 / 

2007

 / 

January

  

From the current literature


Intricate regimes of propagation of an excitation and self-organization in the blood clotting model

 a,  a,  b,  c,  d,  e,  f
a Research Center for Hematology, Russan Academy of Medical Sciences, Novozykovskii proezd 4a, Moscow, 125167, Russian Federation
b Institute of Control Sciences, Russian Academy of Sciences, ul. Profsoyuznaya 65, Moscow, 117997, Russian Federation
c Institute of Mathematical Problems of Biology, Keldysh Institute of Applied Mathematics, Russian Academy of Sciences, Prof. Vitkevich str. 1, Pushchino, Moscow Region, 142290, Russian Federation
d Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, ul. Kosygina, 4, Moscow, 119991, Russian Federation
e Lomonosov Moscow State University, Faculty of Physics, Leninskie Gory 1 build. 2, Moscow, 119991, Russian Federation
f Institute for Theoretical and Experimental Biophysics, Russian Academy of Sciences, Institutskaya str. 3, Pushchino, Moscow Region, 142290, Russian Federation

A very simple mathematical model of blood coagulation is considered, consisting of a set of three partial differential equations that treat blood as an active (excitable) medium. Many well-known phenomena (running pulses, trigger waves, and dissipative structures) can be observed in such a medium. Recent analytic and numerical results obtained by the authors using this model are presented. The following aspects of the formation of dynamic and static structures in this medium are discussed: (1) three scenarios of the formation of spatially localized standing structures (peaks) observed in the model, (2) complex dynamical modes induced by unstable trigger waves, some of the modes leading to unattenuated activity (dynamical chaos) in the entire space, and (3) a new type of excitation propagation in active media — stable multihumped peaks due to trigger wave bifurcation — predicted by the model.

Fulltext pdf (389 KB)
Fulltext is also available at DOI: 10.1070/PU2007v050n01ABEH006156
PACS: 05.45.−a, 82.39.−k, 87.19.Uv (all)
DOI: 10.1070/PU2007v050n01ABEH006156
URL: https://ufn.ru/en/articles/2007/1/d/
000246449500004
2-s2.0-34249703618
2007PhyU...50...79A
Citation: Ataullakhanov F I, Lobanova E S, Morozova O L, Shnol’ E E, Ermakova E A, Butylin A A, Zaikin A N "Intricate regimes of propagation of an excitation and self-organization in the blood clotting model" Phys. Usp. 50 79–94 (2007)
BibTexBibNote ® (generic)BibNote ® (RIS)MedlineRefWorks

Оригинал: Атауллаханов Ф И, Лобанова Е С, Морозова О Л, Шноль Э Э, Ермакова Е А, Бутылин А А, Заикин А Н «Сложные режимы распространения возбуждения и самоорганизация в модели свертывания крови» УФН 177 87–104 (2007); DOI: 10.3367/UFNr.0177.200701d.0087

References (41) Cited by (21) ↓ Similar articles (5)

  1. Chernyshov A V, Chernyshova S A Izvestiâ Rossijskoj Akademii Nauk. Mehanika Tverdogo Tela (1) 38 (2024)
  2. Moskalenko A V, Makhortykh S A KIAM Prepr. (61) 1 (2024)
  3. Chernyshov A V, Chernyshova S A Mech. Solids 59 85 (2024)
  4. Makhortykh S A, Moskalenko A V Pattern Recognit. Image Anal. 33 1293 (2023)
  5. Tverdislov V A, Lobyshev V I et al BIOPHYSICS 68 665 (2023)
  6. Kochurov A S, Demidov A S Žurnal Vyčislitelʹnoj Matematiki I Matematičeskoj Fiziki 63 1428 (2023)
  7. Tverdislov V A, Lobyshev V I et al Biofizika 68 813 (2023)
  8. Demidov A S, Kochurov A S Comput. Math. And Math. Phys. 63 1571 (2023)
  9. Poberezhnyi V, Marchuk O et al PMJUA 5 15 (2020)
  10. Moskalenko A V, Tetuev R K, Makhortykh S A KIAM Prepr. (44) 1 (2019)
  11. Moskalenko A V, Tetuev R K, Makhortykh S A KIAM Prepr. (109) 1 (2019)
  12. (Proceedings of the International Conference "Mathematical Biology and Bioinformatics") Vol. Proceedings of the International Conference "Mathematical Biology and Bioinformatics"On the Prospects of Using the SpecML Language for Mathematical Modeling in CardiophysicsR.K.TetuevA.V.MoskalenkoS.A.AlyoshinS.A.Makhortykh7 (2018)
  13. Leiderman K, Bannish B E et al Cardiovascular Thrombus (2018) p. 67
  14. Andreeva A A, Anand M et al 33 265 (2018)
  15. Andreeva A A, Nikolaev A V, Lobanov A I CRM 9 247 (2017)
  16. Tverdislov V A, Dmitriev A V, Sidorova A E Bull. Russ. Acad. Sci. Phys. 81 114 (2017)
  17. Lobanov A I Comput. Math. And Math. Phys. 56 1118 (2016)
  18. Pogorelova E A, Lobanov A I BIOPHYSICS 59 110 (2014)
  19. Pogorelova E A, Lobanov A I CRM 4 917 (2012)
  20. Moskalenko A V, Elkin Yu E Chaos, Solitons & Fractals 40 426 (2009)
  21. El’kin Yu E, Elkin Yu E Math.Biol.Bioinf. 2 73 (2007)

© 1918–2024 Uspekhi Fizicheskikh Nauk
Email: ufn@ufn.ru Editorial office contacts About the journal Terms and conditions