Remote and non-invasive monitoring of patients with COVID-19 by smartphone
DOI:
https://doi.org/10.15448/1980-6108.2021.1.39340Keywords:
coronavirus infections, mobile health, pandemics, smartphone, telemedicineAbstract
The pandemic caused by the new coronavirus (SARS-COV-2) has led to more than two million deaths in the world by March 2021. The worldwide call to reduce transmission is enormous. Recently, there has been a rapid growth of telemedicine and the use of mobile health (mHealth) in the context of the COVID-19 pandemic. Smartphone accessories such as a flashlight, camera, microphone, and microprocessor can measure different clinical parameters such as oxygen saturation, blood pressure, heart rate, breathing rate, fever, pulmonary auscultation, and even voice analysis. All these parameters are of great clinical importance when evaluating suspected patients of COVID-19 or monitoring infected patients admitted in various hospitals or in-home isolation. In remote medical care, the results of these parameters can be sent to a call center or a health unit for interpretation by a qualified health professional. Thus, the patient can receive orientations or be immediately referred for in-patient care. The application of machine learning and other artificial intelligence strategies assume a central role in signal processing and are gaining much space in the medical field. In this work, we present different approaches for evaluating clinical parameters that are valuable in the case of COVID-19 and we hope that soon all these parameters can be measured by a single smartphone application, facilitating remote clinical assessments.
Downloads
References
Kalirathinam D, Guruchandran R, Subramani P. Comprehensive physiotherapy management in covid-19 – a narrative review. Sci Med. 2020;30(1):e38030. https://doi.org/10.15448/1980-6108.2020.1.38030
Mckee M, Stuckler D. If the world fails to protect the economy, COVID-19 will damage health not just now but also in the future. Nat Med. 2020;26:640–42. https://doi.org/10.1038/s41591-020-0863-y
World Health Organization. WHO Coronavirus Disease (COVID-19) Dashboard. [Internet]. 2021; [cited 2021 Mar 24]. Available from: https://covid19.who.int/.
Moraes E, Almeida LHA, Giordani E. COVID-19: Cuidados de enfermagem em unidade de terapia intensiva. Sci Med. 2020;30(1):e38468. https://doi.org/10.15448/1980-6108.2020.1.38468
Siordia JA. Epidemiology and clinical features of COVID-19: A review of current literature. J Clin Virol. 2020;127:104357. https://doi.org/10.1016/j.jcv.2020.104357
Lippi G, Plebani M. Laboratory abnormalities in patients with COVID-2019 infection. Clin Chem Lab Med. 2020;58(7):1131–1134 https://doi.org/10.1515/cclm-2020-0198
Zhang Y, Xiao M, Zhang S, Xia P, Cao W; Jiang W, et al. Coagulopathy and Antiphospholipid Antibodies in Patients with Covid-19. N Engl J Med. 2020; 382:e38. https://doi.org/10.1056/NEJMc2007575
Hoffman T, Nissen K, Krambrich J, Rönnberg B, Esmaeilzadeh M, Salaneck E, et al. Evaluation of a COVID-19 IgM and IgG rapid test ; an efficient tool for assessment of past exposure to SARS-CoV-2. Infect Ecol Epidemiol. 2020;10(1):1754538. https://doi.org/10.1080/20008686.2020.1754538
Mazzu-Nascimento T, Morbioli GG, Milan LA, Silva DF, Donofrio FC, Mestriner CA, et al. Improved assessment of accuracy and performance indicators in paper-based ELISA. Anal Methods. 2017;9(18):2644–53. https://doi.org/10.1039/C7AY00505A
Mazzu-Nascimento T, Leão PAGC, Catai JR, Morbioli GG, Carrilho E. Towards low-cost bioanalytical tools for sarcosine assays for cancer diagnostics. Anal Methods. 2016;8:7312–8. https://doi.org/10.1039/C6AY01848C
Godoy MF, Ribas-Filho D. O Futuro é Hoje ! Int J Nutrology. 2020;13(2):31. https://doi.org/10.1055/s-0040-1716837
Avram R, Olgin JE, Kuhar P, Hughes JW, Marcus GM, Pletcher MJ, et al. A digital biomarker of diabetes from smartphone-based vascular signals. Nat Med. 2020;26:1576-80. https://doi.org/10.1038/s41591-020-1010-5
Mazzu-Nascimento T, Leal ÂM de O, Nogueira-de-Almeida CA, Avó LR da S de, Carrilho E, Silva DF. Non-invasive self-monitoring of blood glucose at your fingertips, literally!: Smartphone-based photoplethysmography. Int J Nutrology. 2020;13(2):48–52. https://doi.org/10.1055/s-0040-1716498
Mazzu-Nascimento T, Evangelista DN, Abubakar O, Carrilho E, Silva DF, Chachá SGF, et al. Mobile health (mHealth) and advances in non-invasive diagnosis of anemia: An Overview. Int J Nutrology. 2020;13(2):42–7. https://doi.org/10.1055/s-0040-1716497
Caetano R, Silva AB, Guedes ACCM, de Paiva CCN, da Rocha Ribeiro G, Santos DL, et al. Challenges and opportunities for telehealth during the COVID-19 pandemic: Ideas on spaces and initiatives in the Brazilian context. Cad Saude Publica. 2020;36(5):e00088920. https://doi.org/10.1590/0102-311X00088920
Iyengar K, Upadhyaya GK, Vaishya R, Jain V. COVID-19 and applications of smartphone technology in the current pandemic. Diabetes Metab Syndr Clin Res Rev. 2020;14:733–7. https://doi.org/10.1016/j.dsx.2020.05.033
Woo Baidal JA, Chang J, Hulse E, Turetsky R, Parkinson K, Rausch JC. Zooming Toward a Telehealth Solution for Vulnerable Children with Obesity During Coronavirus Disease 2019. Obesity. 2020;28(7):1184–6. https://doi.org/10.1002/oby.22860
Xie J, Covassin N, Fan Z, Singh P, Gao W, Li G, et al. Association Between Hypoxemia and Mortality in Patients With COVID-19. Mayo Clin Proc. 2020;95(6):1094-6. https://doi.org/10.1016/j.mayocp.2020.04.006
Nascimento IP, Leite LCC. Recombinant vaccines and the development of new vaccine strategies. Brazilian J Med Biol Res. 2012;45(12):1102–11. https://doi.org/10.1590/S0100-879X2012007500142
Kamshilin AA, Margaryants NB. Origin of Photoplethysmographic Waveform at Green Light. Phys Procedia. 2017;86:72–80. http://dx.doi.org/10.1016/j.phpro.2017.01.024
Teo J. Early Detection of Silent Hypoxia in Covid-19 Pneumonia Using Smartphone Pulse Oximetry. J Med Syst. 2020;44:134. https://doi.org/10.1007/s10916-020-01587-6
Guede-Fernández F, Ferrer-Mileo V, Mateu-Mateus M, Ramos-Castro J, García-González MÁ, Fernández-Chimeno M. A photoplethysmography smartphone-based method for heart rate variability assessment: device model and breathing influences. Biomed Signal Process Control. 2020;57:101717. https://doi.org/10.1016/j.bspc.2019.101717
Bertollo M. A dinâmica na rede urbana brasileira atual e a capilarização da informação pelo smartphone no território. GEOUSP Espaço e Tempo. 2019;23(2):262–84. https://doi.org/10.11606/issn.2179-0892.geousp.2019.158181
Lamonaca F, Carni DL, Grimaldi D, Nastro A, Riccio M, Spagnolo V. Blood oxygen saturation measurement by smartphone camera. In: Grassini S, Groza V, De Vito L, editors. 2015 IEEE - International Symposium on Medical Measurements and Applications (MeMeA) Proceedings; 2015 May 7-9; Turin, Italy. Piscataway: IEEE; 2015 p.359–64. https://doi.org/10.1109/MeMeA.2015.7145228
Costa JA, Silveira J de A, Santos SCM, Nogueira PP. Cardiovascular Implications in Patients Infected with Covid-19 and the Importance of Social Isolation to Reduce Dissemination of the Disease. Arq Bras Cardiol. 2020;114(5):834–8. https://doi.org/10.36660/abc.20200243
Nemcova A, Jordanova I, Varecka M, Smisek R, Marsanova L, Smital L, et al. Monitoring of heart rate, blood oxygen saturation, and blood pressure using a smartphone. Biomed Signal Process Control. 2020;59:101928. https://doi.org/10.1016/j.bspc.2020.101928
Albuquerque J, Neto DF, Marcondes-braga FG, Moura LZ, Melo A, Figueiredo D, et al. Coronavirus Disease 2019 and the Myocardium. Arq Bras Cardiol. 2020;114(6):1051–7. https://doi.org/10.36660/abc.20200373
Lima CMA de O. Information about the new coronavirus disease (COVID-19). Radio Bras. 2020;53(2):V–VI. http://dx.doi.org/10.1590/0100-3984.2020.53.2e1
Nam Y, Kong Y, Reyes B, Reljin N, Chon KH. Monitoring of heart and breathing rates using dual cameras on a smartphone. PLoS One. 2016;11(3):e0151013. https://doi.org/10.1371/journal.pone.0151013
Larson EC, Goel M, Boriello G, Heltshe S, Rosenfeld M, Patel SN. SpiroSmart: Using a Microphone to Measure Lung Function on a Mobile Phone. In: Key AK, Chu HH, Hayes G, editors. UbiComp ‘12: Proceedings of the 2012 ACM Conference on Ubiquitous Computing; 2012 Sep 5-8; Pittsburgh, USA. New York: Association for Computing Machinery; 2012. p. 280–9. https://doi.org/10.1145/2370216.2370261
Thoms LJ, Colicchia G, Girwidz R. Phonocardiography with a smartphone. Phys Educ. 2017;52(2):023004. https://doi.org/10.1088/1361-6552/aa51ec
Guan W, Ni Z, Hu Y, Liang W, Ou C, He J, et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. 2020;382(18):1708–20. https://doi.org/10.1056/NEJMoa2002032
Chen T, Wu D, Chen H, Yan W, Yang D, Chen G, et al. Clinical characteristics of 113 deceased patients with coronavirus disease 2019: Retrospective study. BMJ. 2020;368:m1091. https://doi.org/10.1136/bmj.m1091
Song W, Yu H, Liang C, Wang Q, Shi Y. Body monitoring system design based on android smartphone. Proc 2012 World Congr Inf Commun Technol WICT 2012. 2012;1147–51. 2012 World Congress on Information and Communication Technologies, Trivandrum, India, 2012, pp. 1147-1151 Publisher: IEEE Institute of Eletrical and Eletronics Engeneer Date of Conference: 30 Oct.-2 Nov. 2012 https://doi.org/10.1109/WICT.2012.6409247
Lechien JR, Chiesa-Estomba CM, Cabaraux P, Mat Q, Huet K, Harmegnies B, et al. Features of Mild-to-Moderate COVID-19 Patients With Dysphonia. J Voice. 2020. Epub: 2020 jun 4. https://doi.org/10.1016/j.jvoice.2020.05.012
Helding L, Carroll TL, Nix J, Johns MM, LeBorgne WD, Meyer D. COVID-19 After Effects: Concerns for Singerss. J Voice. 2020. Epub 2020 Jun 04 https://doi.org/10.1016/j.jvoice.2020.07.032
Uloza V, Padervinskis E, Vegiene A, Pribuisiene R, Saferis V, Vaiciukynas E, et al. Exploring the feasibility of smart phone microphone for measurement of acoustic voice parameters and voice pathology screening. Eur Arch Oto-Rhino-Laryngology. 2015;272(11):3391–9. https://doi.org/10.1007/s00405-015-3708-4
Halboub E, Al-Maweri SA, Alanazi RH, Qaid NM, Abdulrab S. Orofacial manifestations of COVID-19: a brief review of the published literature. Braz Oral Res. 2020;34:e124. https://doi.org/10.1590/1807-3107bor-2020.vol34.0124
Dulam S, Ramesh V, Malathi G. Tongue image analysis for COVID-19 diagnosis and disease detection. Int J Adv Trends Comput Sci Eng. 2020;9:7924–8. https://doi.org/10.30534/ijatcse/2020/145952020
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Scientia Medica
![Creative Commons License](http://i.creativecommons.org/l/by/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright
The submission of originals to Scientia Medica implies the transfer by the authors of the right for publication. Authors retain copyright and grant the journal right of first publication. If the authors wish to include the same data into another publication, they must cite Scientia Medica as the site of original publication.
Creative Commons License
Except where otherwise specified, material published in this journal is licensed under a Creative Commons Attribution 4.0 International license, which allows unrestricted use, distribution and reproduction in any medium, provided the original publication is correctly cited.