Monitoramento remoto e não invasivo de pacientes com COVID-19 pelo smartphone

Autores

DOI:

https://doi.org/10.15448/1980-6108.2021.1.39340

Palavras-chave:

infecções por Coronavirus, saúde móvel, pandemia,, smartphone, telemedicina

Resumo

A pandemia causada pelo novo coronavírus (SARS-COV-2) foi a responsável por mais de dois milhões de mortes no mundo até março de 2021. O apelo mundial para reduzir a transmissão é enorme. Recentemente, houve um rápido crescimento do uso de telemedicina e saúde móvel (mHealth) no contexto da pandemia causada pela doença COVID-19. Os acessórios dos smartphones, como lanterna, câmera, microfone, bem como o microprocessador podem analisar diferentes parâmetros clínicos, tais como, a saturação de oxigênio, pressão arterial, frequência cardíaca, frequência respiratória, febre, ausculta pulmonar e até mesmo análise da voz. Todos esses parâmetros são de grande importância clínica na avaliação de pacientes suspeitos de COVID-19 ou no monitoramento de pacientes infectados que estão no hospital ou em isolamento domiciliar. No atendimento médico remoto, os resultados desses parâmetros podem ser enviados a uma central de atendimento ou à unidade de saúde para que o resultado seja interpretado por profissional de saúde qualificado. Assim, o paciente pode receber orientações ou ser encaminhado imediatamente para internação. A aplicação de aprendizado de máquina e outras estratégias de inteligência artificial assumem um papel central no processamento de sinais e vêm ganhando muito espaço na área médica. Neste trabalho, apresentamos diferentes abordagens para avaliação de parâmetros clínicos valiosos no caso do COVID-19 e esperamos que em breve todos esses parâmetros possam ser mensurados em um único aplicativo para smartphone, facilitando avaliações clínicas à distância.

Downloads

Não há dados estatísticos.

Biografia do Autor

Thiago Mazzu-Nascimento, Federal University of São Carlos (UFSCar), Department of Medicine, São Carlos, SP, Brazil.

BSc in Biomedicine, Ph.D. in Chemistry from the Institute of Chemistry of São Carlos (IQSC) at University of São Paulo (USP), São Carlos, SP, Brazil. Undergraduate medical student and Postdoctoral researcher in Computer Science from the Federal University of São Carlos (UFSCar), São Carlos, SP, Brazil.

Danilo Nogueira Evangelista, Federal University of São Carlos (UFSCar), Department of Medicine, São Carlos, SP, Brazil.

BSc in Biomedicine. Undergraduate medical student from the Federal University of São Carlos (UFSCar), São Carlos, SP, Brazil.

Obeedu Abubakar, Federal University of São Carlos (UFSCar), Department of Medicine, São Carlos, SP, Brazil.

Undergraduate medical student from the Federal University of São Carlos (UFSCar), São Carlos, SP, Brazil.

Bernardino Geraldo Alves Souto, Federal University of São Carlos (UFSCar), Department of Medicine, São Carlos, SP, Brazil.

M.D from Federal University of Juiz de Fora (UFJF), Juiz de Fora, MG, Brazil. Master of Tropical Medicine, Ph.D. in Infectious Diseases and Tropical Medicine from Federal University of Minas Gerais (UFMG), Belo Horizonte, MG, Brazil. Post-Doctorate fellow in Microbiology and Infection from University of Minho, Braga, Portugal. Associate professor in the department of medicine from the Federal University of São Carlos (UFSCar), São Carlos, SP, Brazil.

Lucas Vinicius Domingues, Federal University of São Carlos (UFSCar), Department of Computing, São Carlos, SP, Brazil.

Undergraduate in Computer Science from the Federal University of São Carlos (UFSCar), São Carlos, SP, Brazil.

Diego Furtado Silva, Federal University of São Carlos (UFSCar), Department of Computing, São Carlos, SP, Brazil.

BSc, Master, and Ph.D. in Computer Science from Institute of Mathematical and Computer Sciences (ICMC) at University of São Paulo (USP), São Carlos, SP, Brazil. Adjunct professor in the Department of Computer Science from the Federal University of São Carlos (UFSCar), São Carlos, SP, Brazil.

Carlos Alberto Nogueira-de-Almeida, Federal University of São Carlos (UFSCar), Department of Medicine, São Carlos, SP, Brazil.

M.D from University of São Paulo (USP), Master and Ph.D. in pediatrics from University of São Paulo (USP), Ribeirão Preto, SP, Brazil. Director of the Department of Pediatric Nutrology of the Brazilian Association of Nutrology. Adjunct professor in the department of medicine from the Federal University of São Carlos (UFSCar), São Carlos, SP, Brazil.

Referências

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

Publicado

2021-04-05

Como Citar

Mazzu-Nascimento, T., Nogueira Evangelista, D., Abubakar, O., Geraldo Alves Souto, B., Domingues, L. V., Furtado Silva, D. ., & Nogueira-de-Almeida , C. A. (2021). Monitoramento remoto e não invasivo de pacientes com COVID-19 pelo smartphone. Scientia Medica, 31(1), e39340. https://doi.org/10.15448/1980-6108.2021.1.39340

Edição

Seção

Artigos de Revisão