Problems and prospects of using digital technologies in medical and social rehabilitation
- 作者: Kozlova U.S.1
-
隶属关系:
- Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University)
- 期: 卷 19, 编号 2 (2025)
- 页面: 39-54
- 栏目: The questions of organization of medical-social expertise and complex rehabilitation
- ##submission.dateSubmitted##: 31.07.2025
- URL: https://ruspoj.com/1999-2351/article/view/688529
- DOI: https://doi.org/10.63839/19992351-19/04
- ID: 688529
如何引用文章
详细
Digital technologies are changing approaches to rehabilitation medicine, providing new opportunities for personalization, monitoring and increasing the availability of rehabilitation programs. The article presents current trends and achievements in the field of digital rehabilitation, including the use of sensors, robotics, artificial intelligence, virtual and augmented reality technologies, gamification and mobile applications. The advantages and limitations of various methods are analyzed, as well as the barriers preventing their widespread implementation. Special attention is paid to the impact of the COVID-19 pandemic as a catalyst for digitalization in rehabilitation, as well as the need to develop sustainable strategies for integrating innovations. The conclusion is made about the importance of an interdisciplinary approach and patient orientation for the successful use of digital technologies in clinical practice and at home.
全文:

作者简介
Ulyana Kozlova
Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University)
编辑信件的主要联系方式.
Email: kozlova1602@mail.ru
3rd-year student
俄罗斯联邦, Moscow参考
- Puzin S.N., Shurgaya M.A., Memetov S.S., Achkasov E.E., Pogosyan G.E., Lyalina I.V., Omarov S.A., Puzin S.S., Gigineishvili D.N. Invalidnost` v XXI veke. Sostoyanie problemy` mediko-social`noj reabilitacii i abilitacii invalidov v sovremennoj Rossii // Mediko-social`naya e`kspertiza i reabilitaciya. 2018. T. 21. № 1-2. S. 10-17.
- Abdollahi M., Ashouri S., Abedi M., Azadeh-Fard N., Parnianpour M., Khalaf K., et al. Using a motion sensor to categorize nonspecific low back pain patients: a machine learning approach // Sensors (Basel). 2020. Vol. 20(12). P. 3600.
- Abdullah S., Matthews M., Frank E., Doherty G., Gay G., Choudhury T. Automatic detection of social rhythms in bipolar disorder // J Am Med Inform Assoc. 2016. Vol. 23(3). P. 538-543.
- Afridi A., Rathore F.A., Nazir S.N. Wii Fit for balance training in elderly: a systematic review // J Coll Physicians Surg Pak. 2021. Vol. 30(5). P. 559-566.
- Ahmed Y.S., Al-Neami A.Q., Lateef S. Robotic glove for rehabilitation purpose: review // Iraqi J Electr Electron Eng. 2020. Vol. sceeer(3d). P. 86-92.
- Andrenelli E., Negrini F., De Sire A., Arienti C., Patrini M., Negrini S. Systematic rapid living review on rehabilitation needs due to COVID-19: update to May 31st, 2020 // Eur J Phys Rehabil Med. 2020. Vol. 56(4). P. 508-514.
- Assis G.A., Corrêa A.G., Martins M.B., Pedrozo W.G., Lopes R.D. An augmented reality system for upper-limb post-stroke motor rehabilitation: a feasibility study // Disabil Rehabil Assist Technol. 2016. Vol. 11(6). P. 521-528.
- Azodo I., Williams R., Sheikh A., Cresswell K. Opportunities and challenges surrounding the use of data from wearable sensor devices in health care: qualitative interview study // J Med Internet Res. 2020. Vol. 22. P. e19542.
- Blasco J.M., Acosta-Ballester Y., Martínez-Garrido I., García-Molina P., Igual-Camacho C., Roig-Casasús S. The effects of preoperative balance training on balance and functional outcome after total knee replacement: a randomized controlled trial // Clin Rehabil. 2020. Vol. 34(2). P. 182–193.
- Bonnechère B., Jansen B., Omelina L., Van Sint Jan S. The use of commercial video games in rehabilitation: a systematic review // Int J Rehabil Res. 2016. Vol. 39(4). P. 277-290.
- Brennan L., Dorronzoro Zubiete E., Caulfield B. Feedback design in targeted exercise digital biofeedback systems for home rehabilitation: a scoping review // Sensors (Basel). 2019. Vol. 20(1). P. 181.
- Butler S.J., Lee A.L., Goldstein R.S., Brooks D. Active video games as a training tool for individuals with chronic respiratory diseases: a systematic review // J Cardiopulm Rehabil Prev. 2019. Vol. 39(2). P. 85-90.
- Charvet L., Shaw M., Dobbs B., Pawlak N., Pau W. Tes for home treatments: opportunities and threats // Brain Stimul. 2017. Vol. 10(2). P. 464.
- Chae S.H., Kim Y., Lee K.S., Park H.S. Development and clinical evaluation of a web-based upper limb home rehabilitation system using a smartwatch and machine learning model for chronic stroke survivors: prospective comparative study // JMIR Mhealth Uhealth. 2020. Vol. 8(7). P. e17216.
- Chen Y., Abel K.T., Janecek J.T., Chen Y., Zheng K., Cramer S.C. Home-based technologies for stroke rehabilitation: a systematic review // Int J Med Inform. 2019. Vol. 123. P. 11-22.
- Conroy S.S., Zhan M., Culpepper W.J. 2nd, Royal W. 3rd, Wallin M.T. Self-directed exercise in multiple sclerosis: evaluation of a home automated tele-management system // J Telemed Telecare. 2018. Vol. 24(6). P. 410-419.
- Dalmazane M., Gallou-Guyot M., Compagnat M., Magy L., Montcuquet A., Billot M., et al. Effects on gait and balance of home-based active video game interventions in persons with multiple sclerosis: a systematic review // Mult Scler Relat Disord. 2021. Vol. 51. P. 102928.
- Demeyer H., Louvaris Z., Frei A., Rabinovich R.A., De Jong C., Gimeno-Santos E., Mr Papp PROactive study group and the PROactive consortium. Physical activity is increased by a 12-week semiautomated telecoaching programme in patients with COPD: a multicentre randomised controlled trial // Thorax. 2017. Vol. 72(5). P. 415-423.
- De Angelis M., Lavorgna L., Carotenuto A., Petruzzo M., Lanzillo R., Brescia Morra V., et al. Digital technology in clinical trials for multiple sclerosis: systematic review // J Clin Med. 2021. Vol. 10(11). P. 2328.
- Duscha B.D., Piner L.W., Patel M.P., Crawford L.E., Jones W.S., Patel M.R., et al. Effects of a 12-week mHealth program on functional capacity and physical activity in patients with peripheral artery disease // Am J Cardiol. 2018. Vol. 122(5). P. 879-884.
- Elkefi S., Asan O. Digital twins for managing health care systems: rapid literature review // J Med Internet Res. 2022. Vol. 24(8). P. e37641.
- Fitzpatrick K.K., Darcy A., Vierhile M. Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety using a fully automated conversational agent (Woebot): a randomized controlled trial // JMIR Ment Health. 2017. Vol. 4(2). P. e19.
- Forster A.J., Murff H.J., Peterson J.F., Gandhi T.K., Bates D.W. The incidence and severity of adverse events affecting patients after discharge from the hospital // Ann Intern Med. 2003. Vol. 138(3). P. 161-167.
- Frevel D., Mäurer M. Internet-based home training is capable to improve balance in multiple sclerosis: a randomized controlled trial // Eur J Phys Rehabil Med. 2015. Vol. 51(1). P. 23-30.
- Fulmer R., Joerin A., Gentile B., Lakerink L., Rauws M. Using psychological artificial intelligence (Tess) to relieve symptoms of depression and anxiety: randomized controlled trial // JMIR Ment Health. 2018. Vol. 5(4). P. e64.
- Gorgey A.S. Robotic exoskeletons: the current pros and cons // World J Orthop. 2018. Vol. 9(9). P. 112-119.
- Gough N., Brkan L., Subramaniam P., Chiuccariello L., De Petrillo A., Mulsant B.H., et al. Feasibility of remotely supervised transcranial direct current stimulation and cognitive remediation: a systematic review // PLoS One. 2020. Vol. 15(2). P. e0223029.
- Healthcare expenditure statistics. The Statistical Office of The European Union. 2021. URL: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Healthcare_ expenditure_statistics#Healthcare_expenditure_by_provider (дата обращения 12.12.2024).
- Hickman R., Popescu L., Manzanares R., Morris B., Lee S.P., Dufek J.S. Use of active video gaming in children with neuromotor dysfunction: a systematic review // Dev Med Child Neurol. 2017. Vol. 59(9). P. 903-911.
- Holloway C., Barbareschi G. Disability interactions: creating inclusive innovations. Springer Nature; 2022.
- Hotta F. Home rehabilitation // Japan Med Assoc J. 2015. Vol. 58(1-2). P. 40-43.
- Johnson K.B., Neuss M.J., Detmer D.E. Electronic health records and clinician burnout: a story of three eras // J Am Med Inform Assoc. 2021. Vol. 28. P. 967-973.
- Kim G.J., Parnandi A., Eva S., Schambra H. The use of wearable sensors to assess and treat the upper extremity after stroke: a scoping review // Disabil Rehabil. 2022. Vol. 44(20). P. 6119-6138.
- Kuroda Y., Young M., Shoman H., Punnoose A., Norrish A.R., Khanduja V. Advanced rehabilitation technology in orthopaedics—a narrative review // Int Orthop. 2021. Vol. 45(8). P. 1933-1940.
- Lambelet C., Temiraliuly D., Siegenthaler M., Wirth M., Woolley D.G., Lambercy O., et al. Characterization and wearability evaluation of a fully portable wrist exoskeleton for unsupervised training after stroke // J Neuroeng Rehabil. 2020. Vol. 17(1). P. 132.
- Lee J.S., Lin K.W., Syue J.L. Smartphone-based heart-rate measurement using facial images and a spatiotemporal alpha-trimmed mean filter // Technol Health Care. 2016. Vol. 24(Suppl 2). P. 777–783.
- Liu Z., Ren L., Xiao C., Zhang K., Demian P. Virtual reality aided therapy towards health 4.0: a two-decade bibliometric analysis // Int J Environ Res Public Health. 2022. Vol. 19. P. 1525.
- Lydakis A., Meng Y., Munroe C., Wu Y.N., Begum M. A learning-based agent for home neurorehabilitation // Proceedings of the 2017 International Conference on Rehabilitation Robotics (ICORR '17). 2017. London, UK. P. 1233-1238.
- Matamala-Gomez M., Maisto M., Montana J.I., Mavrodiev P.A., Baglio F., Rossetto F., et al. The role of engagement in teleneurorehabilitation: a systematic review // Front Neurol. 2020. Vol. 11. P. 354.
- Miralles F., Vargiu E., Dauwalder S., Solà M., Müller-Putz G., Wriessnegger S.C., et al. Brain computer interface on track to home // ScientificWorldJournal. 2015. Vol. 2015. P. 623896.
- Morgan A., Richardson J. Incorporating exercise into telerehabilitation interventions for adults with chronic low back pain: a narrative review // Crit Rev Phys Rehabil Med. 2021. Vol. 33(3). P. 35-56.
- Mura G., Carta M.G., Sancassiani F., Machado S., Prosperini L. Active exergames to improve cognitive functioning in neurological disabilities: a systematic review and meta-analysis // Eur J Phys Rehabil Med. 2018. Vol. 54(3). P. 450-462.
- Nascimento L.M., Bonfati L.V., Freitas M.B., Mendes Junior J.J., Siqueira H.V., Stevan Jr S.L. Sensors and systems for physical rehabilitation and health monitoring—a review // Sensors (Basel). 2020. Vol. 20(15). P. 4063.
- Ninnis K., Van Den Berg M., Lannin N.A., George S., Laver K. Information and communication technology use within occupational therapy home assessments: a scoping review // Br J Occup Ther. 2019. Vol. 82(3). P. 141-152.
- Osuagwu B.A., Timms S., Peachment R., Dowie S., Thrussell H., Cross S., et al. Home-based rehabilitation using a soft robotic hand glove device leads to improvement in hand function in people with chronic spinal cord injury: a pilot study // J Neuroeng Rehabil. 2020. Vol. 17(1). P. 40.
- Pillai A.S., Mathew P.S. Impact of virtual reality in healthcare: a review // Virtual and Augmented Reality in Mental Health Treatment. 2019. P. 17-31.
- Pugliese M., Ramsay T., Johnson D., Dowlatshahi D. Mobile tablet-based therapies following stroke: a systematic scoping review of administrative methods and patient experiences // PLoS One. 2018. Vol. 13(1). P. e0191566.
- Radder B., Prange-Lasonder G.B., Kottink A.I., Holmberg J., Sletta K., Van Dijk M., et al. Home rehabilitation supported by a wearable soft-robotic device for improving hand function in older adults: a pilot randomized controlled trial // PLoS One. 2019. Vol. 14(8). P. e0220544.
- Rehabilitation. World Health Organization. 2022 Oct 10. URL: https://www.who.int/news-room/fact-sheets/detail/rehabilitation (дата обращения 10.12.2024).
- Rehabilitation. World Health Organization. 2023 Jan 30. URL: https://www.who.int/news-room/fact-sheets/detail/rehabilitation (дата обращения 12.12.2024).
- Rodrigues Barata J.J., Munoz R., De Carvalho Silva R.D., Rodrigues J.J., De Albuquerque V.H. Internet of things based on electronic and mobile health systems for blood glucose continuous monitoring and management // IEEE Access. 2019. Vol. 7. P. 175116-175125.
- Saadeh W., Butt S.A., Altaf M.A. A patient-specific single sensor IoT-based wearable fall prediction and detection system // IEEE Trans Neural Syst Rehabil Eng. 2019. Vol. 27(5). P. 995-1003.
- Sandran N., Hillier S., Hordacre B. Strategies to implement and monitor in-home transcranial electrical stimulation in neurological and psychiatric patient populations: a systematic review // J Neuroeng Rehabil. 2019. Vol. 16(1). P. 58.
- Signal N., Martin T., Leys A., Maloney R., Bright F. Implementation of telerehabilitation in response to COVID-19: lessons learnt from neurorehabilitation clinical practice and education // N Z J Physiother. 2020. Vol. 48(3). P. 117-126.
- Simpson L., Maharaj M.M., Mobbs R.J. The role of wearables in spinal posture analysis: a systematic review // BMC Musculoskelet Disord. 2019. Vol. 20(1). P. 55.
- Vaidyam A.N., Wisniewski H., Halamka J.D., Kashavan M.S., Torous J.B. Chatbots and conversational agents in mental health: a review of the psychiatric landscape // Can J Psychiatry. 2019. Vol. 64(7). P. 456-464.
- Yang D., Nguyen T.H., Chung W.Y. A bipolar-channel hybrid brain-computer interface system for home automation control utilizing steady-state visually evoked potential and eye-blink signals // Sensors (Basel). 2020. Vol. 20(19). P. 5474.
- Zhang H., Wang T., Zhang Z., Lin B., Mei Y., Zhang Y. The current status of stroke-related smartphone applications available to adopt in China: a systematic review study // Medicine (Baltimore). 2020. Vol. 99(27). P. e20656.
- Zulauf-Czaja A., Al-Taleb M.K., Purcell M., Petric-Gray N., Cloughley J., Vuckovic A. On the way home: a BCI-FES hand therapy self-managed by sub-acute SCI participants and their caregivers: a usability study // J Neuroeng Rehabil. 2021. Vol. 18(1). P. 44.
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