Issue 1-22, 2023

https://doi.org/10.38025/2078-1962-2023-22-1-117-123

Advanced Application of Digital Technologies for Rehabilitation and Remote Monitoring of Patients with Post-Covid Syndrom: a Review

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1 ORCIDMaryana A. Ansokova, 1,2 ORCIDIvan A. Rozanov, 1 ORCIDLarisa A. Marchenkova

1 National Medical Research Center for Rehabilitation and Balneology, Moscow, Russian Federation
2 State Scientific Center of the Russian Federation — Institute of Biomedical Problems of the Russian Academy of Sciences, Moscow, Russian Federation


ABSTRACT

AIM. To describe modern technologies for telerehabilitation and remote monitoring of the condition of patients who have undergone a new coronavirus infection COVID-19, and to show the experience of the National Medical Research Center for Rehabilitation and Balneology of the in the clinical testing and development of these technologies.

MATERIAL AND METHODS. A consistent analysis of 39 modern sources of scientific literature (including systematic reviews and original researches), selected by the keywords of this article and including the most up-to-date publications in rating peer-reviewed journals, allows us to conclude the following. The use of digital methods of rehabilitation and diagnostics in institutions of restorative medicine in patients who have had a new coronavirus infection can reduce the risks of undesirable outcomes and the burden on medical personnel, reduce the severity of manifestations of post-COVID-19 syndrome and improve the quality of life of patients.

RESULTS AND DISCUSSIONS. The article describes the prospects for the use of modern intelligent technologies (virtual reality, biofeedback mechanotherapy and remote analysis of the cardiovascular system, motor activity and psychoemotional sphere) in the treatment and rehabilitation programs of patients who have suffered a new coronavirus infection COVID-19. The clinical aspects of the new coronavirus infection that determine the use of digital technologies and remote monitoring in the medical rehabilitation of patients with postcovid syndrome are presented. The technologies of virtual reality, biofeedback mechanotherapy and remote monitoring developed for the rehabilitation of patients with postcovid syndrome at the National Medical Research Center for Rehabilitation and Balneology are described in detail, data on their effectiveness, as well as limitations and difficulties possible with the introduction of digital methods of rehabilitation and telemedicine methods are given. The analysis of psychological factors of distress caused by a new coronavirus infection and approaches to their remote telemonitoring were carried out.

CONCLUSION. The effectiveness of new digital rehabilitation methods that have recently appeared in clinical practice allows us to conclude that the use of modern intelligent technologies is promising. Among them, it should be noted such technologies as virtual reality, mechanotherapy with biofeedback and remote analysis of the performance of the cardiovascular system, motor activity and psycho-emotional sphere in the treatment and rehabilitation programs of patients with post-ovoid syndrome.


KEYWORDS: infection, COVID-19, medical rehabilitation, digital technologies, biofeedback, virtual reality, telerehabilitation, remote monitoring

FOR CITATION: Ansokova M.A., Rozanov I.A., Marchenkova L.A. Advanced Application of Digital Technologies for Rehabilitation and Remote Monitoring of Patients with Post-Covid Syndrom: a Review. Bulletin of Rehabilitation Medicine. 2023; 22(1): 117-123. https://doi.org/10.38025/2078-1962-2023-22-1-117-123

FOR CORRESPONDENCE: Larisa A. Marchenkova, E-mail: MarchenkovaLA@nmicrk.ru


References:

  1. Jimeno-Almazán A., Pallarés J.G., Buendía-Romero Á. et al. Post-COVID-19 Syndrome and the Potential Benefits of Exercise. International Journal of Environmental Research and Public Health. 2021; 18(10): 5329. https://doi.org/10.3390/ijerph18105329
  2. Amirfakhryan H., Safari F. Outbreak of SARS-CoV2: Pathogenesis of infection and cardiovascular involvement. Hellenic Journal of Cardiology. 2021; 62(1): 13-23. https://doi.org/10.1016/j.hjc.2020.05.007
  3. Chilazi M., Duffy E.Y., Thakkar A., Michos E.D. COVID and Cardiovascular Disease: What We Know in 2021. Current Atherosclerosis Reports. 2021; 23(7): 37. https://doi.org/10.1007/s11883-021-00935-2
  4. Long B., Brady W.J., Koyfman A., Gottlieb M. Cardiovascular complications in COVID-19. The American Journal of Emergency Medicine. 2020; 38(7): 1504-1507. https://doi.org/10.1016/j.ajem.2020.04.048
  5. Holmqvist J., Beck-Friis J., Jensen C. et al. Cardiac dysfunction and mortality in critically ill patients with COVID-19: A Swedish multicentre observational study. Acta Anaesthesiologica Scandinavica. 2022; 66(5): 606-614. https://doi.org/10.1111/aas.14039
  6. Esendağli D., Yilmaz A., Akçay Ş., Özlü T. Post-COVID syndrome: pulmonary complications. Turkish Journal of Medical Sciences. 2021; 51(SI-1): 3359- 3371. https://doi.org/10.3906/sag-2106-238
  7. Bílková S., Hirmerová J. Coagulopathy associated with COVID-19. Koagulopatie asociovaná s onemocněním COVID-19. Vnitrní Lékarství Vnitr Lek. 2020; 66(7): 402-408.
  8. Rozanov I.A., Ryumin O., Karpova O. et al. Applications of methods of psychological support developed for astronauts for use in medical settings. Frontiers in Physiology. 2022; (13): 926597. https://doi.org/10.3389/fphys.2022.926597
  9. Fearnbach S.N., Flanagan E.W., Höchsmann C. et al. Factors Protecting against a Decline in Physical Activity during the COVID-19 Pandemic. Medicine & Science in Sports & Exercise. 2021; 53(7): 1391-1399. https://doi.org/10.1249/MSS.0000000000002602
  10. Rozanov I.A., Kuznecova P.G., Savinkina A.O., Shved D.M., Ryumin O.O., Tomilovskaya E.S., Gushchin V.I. Psychological support based on virtual reality in an experiment with three-day «dry» immersion. Aerospace and Environmental Medicine. 2022; 56 (1): 55-61 (In Russ.).
  11. Shved D., Kuznetsova P., Rozanov I.A., Lebedeva S.A., Vinokhodova A., Savinkina A., Shishenina K., Rey N.D., Gushin V. Effects of isolation, crowding, and different psychological countermeasures on crew behavior and performance. Frontiers in Physiology. 2022; (13): 963301. https://doi.org/10.3389/fphys.2022.963301
  12. Thibault R., Coëffier M., Joly F., Bohé J., Schneider S.M., Déchelotte P. How the Covid-19 epidemic is challenging our practice in clinical nutrition- feedback from the field. European Journal of Clinical Nutrition. 2020: 1-10. https://doi.org/10.1038/s41430-020-00757-6
  13. Khondakar K.R., Kaushik A. Role of Wearable Sensing Technology to Manage Long COVID. Biosensors. 2022; 13(1): 62. https://doi.org/10.3390/bios13010062
  14. Chen T., Wang Y.C. Recommending Suitable Smart Technology Applications to Support Mobile Healthcare after the COVID-19 Pandemic Using a Fuzzy Approach. Healthcare. 2021; 9(11): 1461. https://doi.org/10.3390/healthcare9111461
  15. Bulková V., Pindor J., Plešinger F., Viščora I., Fiala M. Telemedicine in arrhythmology. Využití telemedicíny v arytmologii. Vnitrní Lékarství Vnitr Lek. 2022; 68(3): 160-165.
  16. Camcı B., Ersoy C., Kaynak H. Abnormal respiratory event detection in sleep: A prescreening system with smart wearables. Journal of Biomedical Informatics. 2019; (95): 103218. https://doi.org/10.1016/j.jbi.2019.103218
  17. Michard F., Shelley K., L’Her E. COVID-19: Pulse oximeters in the spotlight. Journal of Clinical Monitoring and Computing. 2021; 35(1): 11-14. https://doi.org/10.1007/s10877-020-00550-7
  18. Shen J., Ghatti S., Levkov N.R. et al. A survey of COVID-19 detection and prediction approaches using mobile devices, AI, and telemedicine. Frontiers in Artificial Intelligence. 2022; (5): 1034732. https://doi.org/10.3389/frai.2022.1034732
  19. Shen Y.T., Chen L., Yue W.W., Xu H.X. Digital Technology-Based Telemedicine for the COVID-19 Pandemic. Frontiers in Medicine. 2021; (8): 646506. https://doi.org/10.3389/fmed.2021.646506
  20. Palumbo A., Vizza P., Calabrese B., Ielpo N. Biopotential Signal Monitoring Systems in Rehabilitation: A Review. Sensors. 2021; 21(21): 7172. https://doi.org/10.3390/s21217172
  21. Palinkas L.A., Springgate B.F., Sugarman O.K. et al. A Rapid Assessment of Disaster Preparedness Needs and Resources during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health. 2021;18(2): 425. https://doi.org/10.3390/ijerph18020425
  22. The Lancet Psychiatry. COVID-19 and mental health. The Lancet Psychiatry. 2021; 8(2): 87. https://doi.org/10.1016/S2215-0366(21)00005-5
  23. Chaturvedi K., Vishwakarma D.K., Singh N. COVID-19 and its impact on education, social life and mental health of students: A survey. Children and Youth Services Review. 2021; (121): 105866. https://doi.org/10.1016/j.childyouth.2020.105866
  24. Fiorillo A., Gorwood P. The consequences of the COVID-19 pandemic on mental health and implications for clinical practice. European Psychiatry. 2020; 63(1): e32. https://doi.org/10.1192/j.eurpsy.2020.35
  25. Allé M.C., Berntsen D. Self-isolation, psychotic symptoms and cognitive problems during the COVID-19 worldwide outbreak. Psychiatry Research. 2021; (302): 114015. https://doi.org/10.1016/j.psychres.2021.114015
  26. Lupa Yitzhak H., Tzabari Kelman Y., Moskovenko A., Zhovnerchuk E., Zalevsky Z. (2020). Emotion recognition using speckle pattern analysis and k-nearest neighbors classification. Journal of Optics. 2020; 23(1). https://doi.org/10.1088/2040-8986/abcd00
  27. Küntzler T., Höfling T.A., Alpers G.W. Automatic facial expression recognition in standardized and non-standardized emotional expressions. Frontiers in Psychology. 2021; (12): 627561.
  28. Skiendziel T., Rösch A.G., Schultheiss, O.C. Assessing the convergent validity between the automated emotion recognition software Noldus Facereader 7 and facial action coding system scoring. PLoS ONE. 2019; 14(10): e0223905. https://doi.org/10.1371/journal.pone.0223905
  29. Psihologicheskie testy dlya professionalov. avt. Sost N.F. Greben’.  Minsk: Sovrem. shk. 2007: 496 p. (In Russ.).
  30. Psihologicheskaya ocenka otnosheniya k bolezni. Posobie dlya vrachej. St. Petersburg, 2005: 34 p. (In Russ.).
  31. Bussmann J.B.J., Tulen J.H.M., Van Here E.C.G., Stam H.J. Quantification of physical activities by means of ambulatory accelerometry: A validation study. Psychophysiology. 2008; (35): 488-496. https://doi.org/10.1017/s0048577298971153
  32. Abel M.G., Hannon J.C., Sell K., Lillie T., Conlin G., Anderson D. Validation of the Kenz Lifecorder EX and ActiGraph GT1M accelerometers for walking and running in adults. Applied Physiology, Nutrition, and Metabolism. 2008; 33 (6): 1155. https://doi.org/10.1139/h08-103
  33. Garcia-Ceja E., Brena R.F., Carrasco-Jimenez J.C., Garrido L. Long-term activity recognition from wristwatch accelerometer data. Sensors. 2014; 14(12): 22500-24. https://doi.org/10.3390/s141222500
  34. Zingerman B.V., Nozik A.V., Lapshin V.V., Kargal’skaya I.G., Fistul I.A., Gil’mutdinova I.R., Fesyun A.D., Yakovlev M.Yu. SOVID REHAB. Servis distancionnoj reabilitacii pacientov, perenesshih COVID-19. Svidetel’stvo o registracii programmy dlya EVM 2020661187, 18.09.2020. Zayavka № 2020660237 ot 09.09.2020. (In Russ.).
  35. Fesyun A.D., Rachin A.P., Gil’mutdinova I.R., Eremushkin M.A., Yakovlev M.Yu., Fistul I.A., Zingerman B.V., Lapshin V.V., Nozik A.V., Kargal’skaya I.G. Tekhnologiya distancionnoj medicinskoj reabilitacii pacientov s koronavirusnoj infekciej. Patent na izobretenie 2735722 C1, 06.11.2020. Zayavka № 2020127525 ot 18.08.2020. (In Russ.).
  36. Mihaleva K.A., Eremushkin M.A., Marchenkova L.A., CHesnikova E.I., Trepova A.S., Mihalev V.S. The effectiveness of a multi-stage technique of respiratory gymnastics in patients after COVID-associated pneumonia. Vrach. 2022; 33(9): 74-77 (In Russ.).
  37. Gilmutdinova I.R., Kolyshenkov V.A., Lapickaya K.A., Trepova A.S., Vasileva V.A., Prosvirnin A.N., Marchenkova L.A., Terentev K.V., Yakovlev M.Y., Rachin A.P., Fesyun A.D., Reverchuk I.V. Telemedicine platform COVIDREHAB for remote rehabilitation of patients after COVID-19. European Journal of Translational Myology. 2021; (31)2: 9783.
  38. Eremushkin M.A., Knyazeva T.A., Malahova E.V., Makarova O.G. Application of Remote Patient Monitoring Technology in Medical Rehabilitation Programs. Bulletin of Rehabilitation Medicine. 2022; 21(6): 59-65 (In Russ.).
  39. Marchenkova L.A., Chesnikova E.I., Ansokova M.A., Kondrat’eva M.V., Barysheva S.A., Styazhkina E.M., Razvalyaev A.S., Kolyshenkov V.A., Vershinin A.A., Trepova A.S., Rachin A.P., Fesyun A.D. Sposob reabilitacii pacientov, perenesshih novuyu koronavirusnuyu infekciyu COVID-19. Patent na izobretenie 2782499 C1, 28.10.2022. Zayavka № 2022121831 ot 11.08.2022. (In Russ.).



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This is an open article under the CC BY 4.0 license. Published by the National Medical Research Center for Rehabilitation and Balneology.