A Sensor Network Utilizing Consumer Wearables for
Telerehabilitation of Post-Acute COVID-19 Patients

J 2022

A Sensor Network Utilizing Consumer Wearables for Telerehabilitation of Post-Acute COVID-19 Patients

BURES, Miroslav, Katerina NEUMANNOVA, Pavel BLAZEK, Matej KLIMA, Hynek SCHVACH et. al.

Basic information

Original name

A Sensor Network Utilizing Consumer Wearables for Telerehabilitation of Post-Acute COVID-19 Patients

Authors

BURES, Miroslav, Katerina NEUMANNOVA, Pavel BLAZEK, Matej KLIMA, Hynek SCHVACH, Jiri NEMA, Michal KOPECKY, Jan DYGRYN and Vladimir KOBLIZEK

Edition

IEEE INTERNET OF THINGS JOURNAL, UNITED STATES, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2022, 2327-4662

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30230 Other clinical medicine subjects

Country of publisher

Japan

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 10.600

Organization unit

Faculty of Medicine

DOI

http://dx.doi.org/10.1109/JIOT.2022.3188914

Keywords (in Czech)

COVID-19; Internet of Things; personal wearables; sensor network; telecoaching; telerehabilitation

Keywords in English

COVID-19; Internet of Things; personal wearables; sensor network; telecoaching; telerehabilitation

Abstract

V originále

A considerable number of patients with COVID-19 suffer from respiratory problems in the post-acute phase of the disease (the second–third month after disease onset). Individual telerehabilitation and telecoaching are viable, effective options for treating these patients. To treat patients individually, medical staff must have detailed knowledge of their physical activity and condition. A sensor network that utilizes medical-grade devices can be created to collect these data, but the price and availability of these devices might limit such a network’s scalability to larger groups of patients. Hence, the use of low-cost commercial fitness wearables is an option worth exploring. This article presents the concept and technical infrastructure of such a telerehabilitation program that started in April 2021 in the Czech Republic. A pilot controlled study with 14 patients with COVID-19 indicated the program’s potential to improve patients’ physical activity, (85.7% of patients in telerehabilitation versus 41.9% educational group) and exercise tolerance (71.4% of patients in telerehabilitation versus 42.8% of the educational group). Regarding the accuracy of collected data, the used commercial wristband was compared with the medical-grade device in a separate test. Evaluating equation M1-scores of the intensity of participants’ physical activity in this test, the difference in data is not statistically significant at level equation M2. Hence, the used infrastructure can be considered sufficiently accurate for the telerehabilitation program examined in this study. The technical and medical aspects of the problem are discussed, as well as the technical details of the solution and the lessons learned, regarding using this approach to treat COVID-19 patients in the post-acute phase.

Links

90128, large research infrastructures

Name: CZECRIN III

Citovat

BURES, Miroslav, Katerina NEUMANNOVA, Pavel BLAZEK, Matej KLIMA, Hynek SCHVACH, Jiri NEMA, Michal KOPECKY, Jan DYGRYN and Vladimir KOBLIZEK. A Sensor Network Utilizing Consumer Wearables for Telerehabilitation of Post-Acute COVID-19 Patients. IEEE INTERNET OF THINGS JOURNAL. UNITED STATES: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2022, vol. 9, No 23, p. 23795-23809. ISSN 2327-4662. Available from: https://dx.doi.org/10.1109/JIOT.2022.3188914.

@article{2244090,
   author = {Bures, Miroslav and Neumannova, Katerina and Blazek, Pavel and Klima, Matej and Schvach, Hynek and Nema, Jiri and Kopecky, Michal and Dygryn, Jan and Koblizek, Vladimir},
   article_location = {UNITED STATES},
   article_number = {23},
   doi = {http://dx.doi.org/10.1109/JIOT.2022.3188914},
   keywords = {COVID-19; Internet of Things; personal wearables; sensor network; telecoaching; telerehabilitation},
   language = {eng},
   issn = {2327-4662},
   journal = {IEEE INTERNET OF THINGS JOURNAL},
   note = {Bez afiliace k MU.},
   title = {A Sensor Network Utilizing Consumer Wearables for Telerehabilitation of Post-Acute COVID-19 Patients},
   url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9728539/pdf/jiot-bures-3188914.pdf},
   volume = {9},
   year = {2022}
}

TY  - JOUR
ID  - 2244090
AU  - Bures, Miroslav - Neumannova, Katerina - Blazek, Pavel - Klima, Matej - Schvach, Hynek - Nema, Jiri - Kopecky, Michal - Dygryn, Jan - Koblizek, Vladimir
PY  - 2022
TI  - A Sensor Network Utilizing Consumer Wearables for Telerehabilitation of Post-Acute COVID-19 Patients
JF  - IEEE INTERNET OF THINGS JOURNAL
VL  - 9
IS  - 23
SP  - 23795-23809
EP  - 23795-23809
PB  - IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
SN  - 23274662
N1  - Bez afiliace k MU.
KW  - COVID-19
KW  - Internet of Things
KW  - personal wearables
KW  - sensor network
KW  - telecoaching
KW  - telerehabilitation
UR  - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9728539/pdf/jiot-bures-3188914.pdf
N2  - A considerable number of patients with COVID-19 suffer from respiratory problems in the post-acute phase of the disease (the second–third month after disease onset). Individual telerehabilitation and telecoaching are viable, effective options for treating these patients. To treat patients individually, medical staff must have detailed knowledge of their physical activity and condition. A sensor network that utilizes medical-grade devices can be created to collect these data, but the price and availability of these devices might limit such a network’s scalability to larger groups of patients. Hence, the use of low-cost commercial fitness wearables is an option worth exploring. This article presents the concept and technical infrastructure of such a telerehabilitation program that started in April 2021 in the Czech Republic. A pilot controlled study with 14 patients with COVID-19 indicated the program’s potential to improve patients’ physical activity, (85.7% of patients in telerehabilitation versus 41.9% educational group) and exercise tolerance (71.4% of patients in telerehabilitation versus 42.8% of the educational group). Regarding the accuracy of collected data, the used commercial wristband was compared with the medical-grade device in a separate test. Evaluating equation M1-scores of the intensity of participants’ physical activity in this test, the difference in data is not statistically significant at level equation M2. Hence, the used infrastructure can be considered sufficiently accurate for the telerehabilitation program examined in this study. The technical and medical aspects of the problem are discussed, as well as the technical details of the solution and the lessons learned, regarding using this approach to treat COVID-19 patients in the post-acute phase.
ER  -

BURES, Miroslav, Katerina NEUMANNOVA, Pavel BLAZEK, Matej KLIMA, Hynek SCHVACH, Jiri NEMA, Michal KOPECKY, Jan DYGRYN and Vladimir KOBLIZEK. A Sensor Network Utilizing Consumer Wearables for Telerehabilitation of Post-Acute COVID-19 Patients. \textit{IEEE INTERNET OF THINGS JOURNAL}. UNITED STATES: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2022, vol.~9, No~23, p.~23795-23809. ISSN~2327-4662. Available from: https://dx.doi.org/10.1109/JIOT.2022.3188914.

Detailed Information on Publication Record