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.

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

Objective: to semantically validate the “ROBOVID” mobile application with the tar get population. Method: methodological study, presenting the seventh stage of the matrix project, developed between October 2021 and January 2022, with 21 adults residing in the state of Rio de Janeiro, using a semi-structured electronic form. The Concordance Index was used in the data analysis, being considered a validated item that presented a value equal to or greater than 80%. Results: the ROBOVID mobile application was validated, reaching satisfactory individual agreement rates ranging from 95% to 100% and global 98.8%. Conclusion: the mobile application “ROBOVID” was semantically validated in terms of content and appearance by the target population, indicating that this educational technology is understandable, relevant and pertinent, and can be used by the population as a tool for the prevention and control of serious sequelae resulting from covid-19

“ROBOVID” mobile application about COVID -19 and target population: semantic validation study

Objetivo: validar semanticamente o aplicativo móvel “ROBOVID” com a população-alvo. Método: estudo metodológico, apresentando a sétima etapa do projeto matricial, desenvolvido entre outubro de 2021 e janeiro de 2022, com 21 adultos residentes do estado do Rio de Janeiro, por meio de formulário semiestruturado eletrônico. Utilizou-se o Índice de Concordância na análise dos dados, sendo considerado item validado o que apresentasse valor igual ou superior a 80%. Resultados: o aplicativo móvel ROBOVID foi validado, alcançando índices de concordância individuais satisfatórios com variação entre 95% e 100% e global de 98,8%. Conclusão: o aplicativo móvel “ROBOVID” foi validado semanticamente quanto ao conteúdo e à aparência pela população-alvo de forma satisfatória, indicando que essa tecnologia educacional é compreensível, relevante e pertinente, podendo ser utilizada pela população como uma ferramenta para a prevenção e o controle de agravos da covid-19.

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Aplicativo móvel “ROBOVID” acerca da COVID-19 junto à população-alvo: estudo de validação semântica

Since 2019, the COVID-19 pandemic has had an extremely high impact on all facets of the society and will potentially have an everlasting impact for years to come. In response to this, over the past years, there have been a significant number of research efforts on exploring approaches to combat COVID-19. In this paper, we present a survey of the current research efforts on using mobile Internet of Thing (IoT) devices, Artificial Intelligence (AI), and telemedicine for COVID-19 detection and prediction. We first present the background and then present current research in this field. Specifically, we present the research on COVID-19 monitoring and detection, contact tracing, machine learning based approaches, telemedicine, and security. We finally discuss the challenges and the future work that lay ahead in this field before concluding this paper.

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A survey of COVID-19 detection and prediction approaches using mobile devices, AI, and telemedicine

Digital twin technology has been increasingly applied in healthcare and patient well-being in recent years. This paper provides an overview of the current methods and applications of digital twins in the healthcare field. One such application is digital twins in precision healthcare, where digital twins are used to create patient-specific models to assist in diagnosis and treatment planning. Digital twins are also used in hospital/clinic management, where they help to optimize resource allocation and workflow processes. In response to the COVID-19 pandemic, digital twins have been utilized to detect outbreaks and predict disease spread. In addition, digital twins have been applied in bio-manufacturing and pharmaceutical industry to improve manufacturing processes. Another application area is machine learning and modeling, where digital twins are used in machine learning, data generation, and system modeling for applications in healthcare and disease prediction. Security and ethical issues related to digital twins are also discussed in this paper, as privacy concerns and data protection remain important considerations in the application of digital twin technology in healthcare. Finally, the paper concludes by discussing the future challenges and directions of future work in this field. These include the need to develop more accurate and sophisticated digital twin models, addressing interoperability and integration issues, and further exploring the potential of digital twin technology in emerging areas such as telemedicine and personalized medicine.

Kim Dowdell

Papers

A survey of COVID-19 detection and prediction approaches using mobile devices, AI, and telemedicine

Digital Twins in Healthcare: A Survey of Current Methods