TECNOLOGÍAS REMOTAS NO INVASIVAS UTILIZADAS DURANTE LA PANDEMIA COVID-19 COMO APOYO EN EL PROCESO DE REGISTRO DE SEÑALES CARDIORRESPIRATORIAS
Palabras clave:
COVID-19, tecnologías, señales cardiorrespiratorias, no invasivo, registro, remotoResumen
El principal objetivo de esta investigación documental, es dar a conocer las tecnologías remotas no invasivas, utilizadas durante la pandemia de la COVID-19, como apoyo en el registro de señales cardiorrespiratorias. Esta enfermedad ha causados efectos negativos en los sistemas de salud, haciendo que se tenga que reestructurar la forma de atención a los pacientes. En el difícil momento, la rápida propagación llevó a cambiar el estilo de vida, quedando en aislamiento por seguridad propia y la de seres queridos. El sistema cardiorrespiratorio fue el más afectado por la enfermedad COVID-19, causando dificultades respiratorias, cardiacas, fatiga, disnea entre otras. Donde parámetros como la Frecuencia cardiaca (FC) y Frecuencia respiratoria (FR) fueron fundamentales, para determinar la condición de un paciente COVID-19. Para esto se optó un método investigativo documental, retrospectivo donde se obtuvo información de publicaciones científicas, datos bibliográficos y buscadores relacionados al área de salud e ingeniería. En la actualidad se han desarrollado muchas soluciones de tecnologías remotas, sin embargo, su participación activa fue en la pandemia.
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[2] A. Trilla, “One world, one health: The novel coronavirus COVID-19 epidemic,” Med Clin (Barc), vol. 154, no. 5, pp. 175–177, Mar. 2020, doi: 10.1016/j.medcli.2020.02.002.
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[5] S. Majumder, T. Mondal, and M. J. Deen, “Wearable sensors for remote health monitoring,” Sensors (Switzerland), vol. 17, no. 1. MDPI AG, Jan. 12, 2017. doi: 10.3390/s17010130.
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[10] V. Manuel et al., “Monitoreo Remoto de Pacientes con Diabetes Utilizando Tecnologías Móviles Inalámbricas Remote Monitoring Using Diabetes Patients Wireless Mobile Technologies,” 2012.
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[12] H. K. Cárcamo and J. P. Bahamondes, “Ubiquitous health monitoring in real-time with WBSN,” 2014.
[13] D. D. Sanchez-Gallegos et al., “On the Continuous Processing of Health Data in Edge-Fog-Cloud Computing by Using Micro/Nanoservice Composition,” IEEE Access, vol. 8, pp. 120255–120281, 2020, doi: 10.1109/ACCESS.2020.3006037.
[14] S. Sakphrom, T. Limpiti, K. Funsian, S. Chandhaket, R. Haiges, and K. Thinsurat, “Intelligent medical system with low-cost wearable monitoring devices to measure basic vital signals of admitted patients,” Micromachines (Basel), vol. 12, no. 8, Aug. 2021, doi: 10.3390/mi12080918.
[15] Á. Troncoso, J. A. Ortega, R. Seepold, and N. M. Madrid, “Non-invasive devices for respiratory sound monitoring,” in Procedia Computer Science, 2021, vol. 192, pp. 3040–3048. doi: 10.1016/j.procs.2021.09.076.
[16] “Sistema respiratorio 2”.
[17] “ESTRUCTURA Y FUNCIONES DEL SISTEMA RESPIRATORIO STRUCTURE AND FUNCTION OF THE RESPIRATORY SYSTEM.”
[18] “TEMA 1. FISIOLOGIA CARDIOVASCULAR 1.1 Función general del sistema cardiocirculatorio 1.2 Mecánica de la contracción cardiaca y fases del ciclocardiaco 1.3 El corazón acoplado a la circulación arterial y venosa. 1.1-Función general del sistema cardiocirculatorio.”
[19] “TRABAJO FIN DE GRADO FISIOTERAPIA.”
[20] D. Buonanno Profesor Asesor and A. Leonardo González Mancera Ing, “Desarrollo de un sistema de medición de frecuencia respiratoria de bajo costo Proyecto individual Autor.”
[21] A. Bella, R. Latif, A. Saddik, and L. Jamad, “Review and evaluation of heart rate monitoring based vital signs, a case Study: Covid-19 Pandemic,” in Colloquium in Information Science and Technology, CIST, Jun. 2020, vol. 2020-June, pp. 79–83. doi: 10.1109/CiSt49399.2021.9357302.
[22] V. Millette and N. Baddour, “INVESTIGAR Acceso abierto Procesamiento de señales de señales cardíacas para la cuantificación de eventos no deterministas,” 2011. [Online]. Available: http://www.biomedical-engineering-online.com/content/10/1/10www.onlinedoctranslator.com
[23] M. Ali, A. Elsayed, A. Mendez, Y. Savaria, and M. Sawan, “Contact and Remote Breathing Rate Monitoring Techniques: A Review,” IEEE Sensors Journal, vol. 21, no. 13. Institute of Electrical and Electronics Engineers Inc., pp. 14569–14586, Jul. 01, 2021. doi: 10.1109/JSEN.2021.3072607.
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[25] “HOME [Company address],” 2020.
[26] “Instructions for Use (IFU) for KardiaMobile 6L (AC-019) Instructions for Use for KardiaMobile 6L System.” [Online]. Available: www.alivecor.com/compatibility.
[27] “Índice Introducción.”
[28] “rmc20629i”.
[29] A. Ukil and S. Bandyopadhyay, “Automated cardiac health screening using smartphone and wearable sensors through anomaly analytics,” in EAI/Springer Innovations in Communication and Computing, Springer Science and Business Media Deutschland GmbH, 2019, pp. 145–172. doi: 10.1007/978-3-319-93491-4_8.
[30] J. Felipe and R. Villegas, “ANÁLISIS DE LA VARIABILIDAD DE LA FRECUENCIA CARDÍACA INTEGRANDO LA SEÑAL DE LA FRECUENCIA RESPIRATORIA,” 2009.
[31] “rehabilitacion_manual”.
[32] I. Rodríguez-Núñez, N. Rodríguez-Romero, A. Álvarez, L. Zambrano, G. L. da Veiga, and F. Romero, “Heart rate variability in children: methodological issues and clinical applications,” Arch Cardiol Mex, vol. 92, no. 2, pp. 242–252, Apr. 2022, doi: 10.24875/ACM.20000473.
[33] A. M. Russell et al., “Daily home spirometry: An effective tool for detecting progression in idiopathic pulmonary fibrosis,” Am J Respir Crit Care Med, vol. 194, no. 8, pp. 989–997, Oct. 2016, doi: 10.1164/rccm.201511-2152OC.
[34] “SmartMat Quick Start Manual SmartMat (SM-W32/SM-W42) Quick Start Manual.”
[35] T. Zhu, P. Watkinson, and D. A. Clifton, “Smartwatch data help detect COVID-19,” Nature Biomedical Engineering, vol. 4, no. 12. Nature Research, pp. 1125–1127, Dec. 01, 2020. doi: 10.1038/s41551-020-00659-9.
[36] A. E. Tondas, R. A. Halim, and M. Guyanto, “Minimal or No Touch Electrocardiography Recording and Remote Heart Rhythm Monitoring during COVID-19 Pandemic Era,” Indonesian Journal of Cardiology, Jun. 2020, doi: 10.30701/ijc.1010.
[37] J. Liu, F. Miao, L. Yin, Z. Pang, and Y. Li, “A Noncontact Ballistocardiography-Based IoMT System for Cardiopulmonary Health Monitoring of Discharged COVID-19 Patients,” IEEE Internet Things J, vol. 8, no. 21, pp. 15807–15817, Nov. 2021, doi: 10.1109/JIOT.2021.3063549.
[38] I. Starr, “The Relation of the Ballistocardiogram to Cardiac Function*.”
[39] S. M. M. Islam, C. Grado, V. Lubecke, and L. C. Lubecke, “UAV Radar Sensing of Respiratory Variations for COVID-Type Disorders,” in Asia-Pacific Microwave Conference Proceedings, APMC, Dec. 2020, vol. 2020-December, pp. 737–739. doi: 10.1109/APMC47863.2020.9331613.
[40] A. M. Luks and E. R. Swenson, “Pulse oximetry for monitoring patients with COVID-19 at home potential pitfalls and practical guidance,” Annals of the American Thoracic Society, vol. 17, no. 9. American Thoracic Society, pp. 1040–1046, Sep. 01, 2020. doi: 10.1513/AnnalsATS.202005-418FR.
[41] A. Mbbch et al., “Effectiveness and safety of pulse oximetry in remote patient monitoring of patients with COVID-19: a systematic review,” 2022. [Online]. Available: www.thelancet.com/
[42] P. Shinde, R. Kulkarni, and G. Kulkarni, “Validation of portable Bluetooth enabled smart spirometer (Alveoair™) for the measurement of various lung functions in healthy subjects,” Natl J Physiol Pharm Pharmacol, no. 0, p. 1, 2021, doi: 10.5455/njppp.2021.11.04129202127052021.
[43] “HOME [Company address],” 2020.
[44] A. Angelucci, D. Kuller, and A. Aliverti, “A home telemedicine system for continuous respiratory monitoring,” IEEE J Biomed Health Inform, vol. 25, no. 4, pp. 1247–1256, Apr. 2021, doi: 10.1109/JBHI.2020.3012621.
[45] “admin-gestora-de-la-revista-cnib-id12”.
[46] “SMART MATTRESS”.
[47] “Efectos colaterales positivos de la pandemia (I),” Revista Uruguaya de cardiología, vol. 35, no. 2, Jul. 2020, doi: 10.29277/cardio.35.2.6.
[48] “Lindsay Ariadna Concha-Mora (@lindsayconcha), Kathia Gutiérrez-Juárez (@katgtz), Sofía Aideé Rojas-Prettel (@sofprettel).”
[49] N. E. Linarez-Ochoa, K. P. Cerrato-Varela, R. M. Durón, and E. F. Herrera-Paz, “Linarez-Ochoa et al / Rev Fed Arg Cardiol,” 2020. [Online]. Available: https://orcid.org/0000-0001-9437-6620a.
[50] O. O. Alcázar-Aguilar, J. E. Castro-Yanahida, M. C. Rodríguez-Vargas, S. L. Gil-Cueva, and E. L. Cebrian-Centeno, “Recomendaciones dirigidas a los familiares responsables del cuidado domiciliario de un paciente diagnosticado con Covid-19,” Revista Peruana de Investigación en Salud, vol. 5, no. 1, pp. 40–49, Jan. 2021, doi: 10.35839/repis.5.1.790.
[49] N. E. Linarez-Ochoa, K. P. Cerrato-Varela, R. M. Durón, and E. F. Herrera-Paz, “Linarez-Ochoa et al / Rev Fed Arg Cardiol,” 2020. [Online]. Available: https://orcid.org/0000-0001-9437-6620a.
[50] O. O. Alcázar-Aguilar, J. E. Castro-Yanahida, M. C. Rodríguez-Vargas, S. L. Gil-Cueva, and E. L. Cebrian-Centeno, “Recomendaciones dirigidas a los familiares responsables del cuidado domiciliario de un paciente diagnosticado con Covid-19,” Revista Peruana de Investigación en Salud, vol. 5, no. 1, pp. 40–49, Jan. 2021, doi: 10.35839/repis.5.1.790.
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2023-07-13
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PETROCELLI, L. E., SÁNCHEZ, J., & GÓMEZ, R. (2023). TECNOLOGÍAS REMOTAS NO INVASIVAS UTILIZADAS DURANTE LA PANDEMIA COVID-19 COMO APOYO EN EL PROCESO DE REGISTRO DE SEÑALES CARDIORRESPIRATORIAS. Gente Clave, 7(2), 67–76. Recuperado a partir de https://revistas.ulatina.edu.pa/index.php/genteclave/article/view/308
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