Towards the Use of Artificial Intelligence Techniques in Biomedical Data from an Integrated Portable Medical Assistant to Infer Asymptomatic Cases of Covid-19

Yves Coelho; Lucas Lampier; Eliete Caldeira; Denis Delisle Rodriguez; Ana Cecilia Villa Parra; Christian Mauricio Cobos Maldonado; John Ignacio Calle Siguencia; Patricio Fernando Urgiles Ortiz; Teodiano Freire Bastos Filho

doi:10.1007/978-3-030-68418-1_3

Towards the Use of Artificial Intelligence Techniques in Biomedical Data from an Integrated Portable Medical Assistant to Infer Asymptomatic Cases of Covid-19

Título traducido de la contribución: Hacia el uso de técnicas de inteligencia artificial en datos biomédicos a partir de un asistente médico portátil integrado para inferir casos asintomáticos de Covid-19

Yves Coelho
, Lucas Lampier
, Eliete Caldeira
, Denis Delisle Rodriguez
, Ana Cecilia Villa Parra
, Christian Mauricio Cobos Maldonado
, John Ignacio Calle Siguencia
, Patricio Fernando Urgiles Ortiz
, Teodiano Freire Bastos Filho

Producción científica: Contribución a una conferencia › Documento

Resumen

Este trabajo presenta la propuesta del uso de algoritmos Inteligencia Artificial (IA) basados en modelos de red neuronal profunda (DNN) aplicados a datos biomédicos adquiridos de un asistente médico portátil integrado (IPMA) para ayudar al diagnóstico de COVID-19. IPMA utiliza IA, tecnología de telemedicina y sensores para medir la frecuencia cardíaca del usuario (FC), Presión Arterial (PA), Nivel de Saturación de Oxígeno (SPO2 - Saturación de Oxígeno Capilar Periférico) y Temperatura (T). El nivel de saturación de oxígeno está asociado con la dificultad para respirar y la falta de aire que reportan los pacientes con casos más severos de COVID-19, y la temperatura corporal permite detectar fiebre, otro de los síntomas de COVID-19. Por otro lado, la presión arterial es un factor de riesgo para pacientes con COVID-19, y los cambios en la FC también pueden ser un indicador de contaminación por COVID-19 de personas asintomáticas. Los algoritmos de IA se utilizan para analizar los datos recopilados de usuarios asintomáticos e inferir un posible caso de COVID-19, indicando también al usuario cuándo es el momento de ir a la sala de emergencias o buscar atención hospitalaria.

Título traducido de la contribución	Hacia el uso de técnicas de inteligencia artificial en datos biomédicos a partir de un asistente médico portátil integrado para inferir casos asintomáticos de Covid-19
Idioma original	Inglés estadounidense
DOI	https://doi.org/10.1007/978-3-030-68418-1_3
Estado	Publicada - 12 feb. 2021
Evento	2021 International Conference on Information Technology & Systems (ICITS 2021) - EC Duración: 4 feb. 2021 → 6 feb. 2021 http://www.icits.me/

Conferencia

Conferencia	2021 International Conference on Information Technology & Systems (ICITS 2021)
Período	4/02/21 → 6/02/21
Dirección de internet	http://www.icits.me/

Palabras clave

Artificial intelligence telemedicine
Covid-19 diagnosis
Health informatics
Medical assistant

Areas de Conocimiento del CACES

417A Electrónica, automatización y sonido

Acceder al documento

10.1007/978-3-030-68418-1_3

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Coelho, Y., Lampier, L., Caldeira, E., Delisle Rodriguez, D., Villa Parra, A. C., Cobos Maldonado, C. M., Calle Siguencia, J. I., Urgiles Ortiz, P. F., & Bastos Filho, T. F. (2021). Towards the Use of Artificial Intelligence Techniques in Biomedical Data from an Integrated Portable Medical Assistant to Infer Asymptomatic Cases of Covid-19. Papel presentado en 2021 International Conference on Information Technology & Systems (ICITS 2021). https://doi.org/10.1007/978-3-030-68418-1_3

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title = "Towards the Use of Artificial Intelligence Techniques in Biomedical Data from an Integrated Portable Medical Assistant to Infer Asymptomatic Cases of Covid-19",

abstract = "This work presents the proposal of usage of Artiﬁcial Intelligence (AI) algorithms based on Deep Neural Network (DNN) models in biomedical data collected from an Integrated Portable Medical Assistant (IPMA) to aid the diagnosis of COVID-19. IPMA uses AI, Telemedicine technology, and sensors to measure the user{\textquoteright}s Heart Rate(HR), Blood Pressure (BP), Oxygen Saturation Level (SPO2 - Peripheral Capillary Oxygen Saturation) and Temperature (T). Oxygen saturation level is associated with the diﬃculty in breathing and shortness of breath reported by patients with more severe cases of COVID-19, and body temperature allows the detection of fever, another of the symptoms of COVID-19. On the other hand, blood pressure is a risk factorfor patients with COVID-19, and changes in HR can also be an indicator of contamination by COVID-19 of asymptomatic people. AI algorithms are used to analyze the data collected from asymptomatic users and infer a possible contamination by COVID-19, also indicating to the user when it is time to go to the emergency room or seek hospital care.",

keywords = "Artificial intelligence telemedicine, Covid-19 diagnosis, Health informatics, Medical assistant, Artificial intelligence telemedicine, Covid-19 diagnosis, Health informatics, Medical assistant",

author = "Yves Coelho and Lucas Lampier and Eliete Caldeira and \{Delisle Rodriguez\}, Denis and \{Villa Parra\}, \{Ana Cecilia\} and \{Cobos Maldonado\}, \{Christian Mauricio\} and \{Calle Siguencia\}, \{John Ignacio\} and \{Urgiles Ortiz\}, \{Patricio Fernando\} and \{Bastos Filho\}, \{Teodiano Freire\}",

year = "2021",

month = feb,

day = "12",

doi = "10.1007/978-3-030-68418-1\_3",

language = "English (US)",

note = "2021 International Conference on Information Technology \& Systems (ICITS 2021) ; Conference date: 04-02-2021 Through 06-02-2021",

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Coelho, Y, Lampier, L, Caldeira, E, Delisle Rodriguez, D, Villa Parra, AC , Cobos Maldonado, CM , Calle Siguencia, JI , Urgiles Ortiz, PF & Bastos Filho, TF 2021, 'Towards the Use of Artificial Intelligence Techniques in Biomedical Data from an Integrated Portable Medical Assistant to Infer Asymptomatic Cases of Covid-19', Papel presentado en 2021 International Conference on Information Technology & Systems (ICITS 2021), 4/02/21 - 6/02/21. https://doi.org/10.1007/978-3-030-68418-1_3

Towards the Use of Artificial Intelligence Techniques in Biomedical Data from an Integrated Portable Medical Assistant to Infer Asymptomatic Cases of Covid-19. / Coelho, Yves; Lampier, Lucas; Caldeira, Eliete et al.
2021. Papel presentado en 2021 International Conference on Information Technology & Systems (ICITS 2021).

Producción científica: Contribución a una conferencia › Documento

TY - CONF

T1 - Towards the Use of Artificial Intelligence Techniques in Biomedical Data from an Integrated Portable Medical Assistant to Infer Asymptomatic Cases of Covid-19

AU - Coelho, Yves

AU - Lampier, Lucas

AU - Caldeira, Eliete

AU - Delisle Rodriguez, Denis

AU - Villa Parra, Ana Cecilia

AU - Cobos Maldonado, Christian Mauricio

AU - Calle Siguencia, John Ignacio

AU - Urgiles Ortiz, Patricio Fernando

AU - Bastos Filho, Teodiano Freire

PY - 2021/2/12

Y1 - 2021/2/12

N2 - This work presents the proposal of usage of Artiﬁcial Intelligence (AI) algorithms based on Deep Neural Network (DNN) models in biomedical data collected from an Integrated Portable Medical Assistant (IPMA) to aid the diagnosis of COVID-19. IPMA uses AI, Telemedicine technology, and sensors to measure the user’s Heart Rate(HR), Blood Pressure (BP), Oxygen Saturation Level (SPO2 - Peripheral Capillary Oxygen Saturation) and Temperature (T). Oxygen saturation level is associated with the diﬃculty in breathing and shortness of breath reported by patients with more severe cases of COVID-19, and body temperature allows the detection of fever, another of the symptoms of COVID-19. On the other hand, blood pressure is a risk factorfor patients with COVID-19, and changes in HR can also be an indicator of contamination by COVID-19 of asymptomatic people. AI algorithms are used to analyze the data collected from asymptomatic users and infer a possible contamination by COVID-19, also indicating to the user when it is time to go to the emergency room or seek hospital care.

AB - This work presents the proposal of usage of Artiﬁcial Intelligence (AI) algorithms based on Deep Neural Network (DNN) models in biomedical data collected from an Integrated Portable Medical Assistant (IPMA) to aid the diagnosis of COVID-19. IPMA uses AI, Telemedicine technology, and sensors to measure the user’s Heart Rate(HR), Blood Pressure (BP), Oxygen Saturation Level (SPO2 - Peripheral Capillary Oxygen Saturation) and Temperature (T). Oxygen saturation level is associated with the diﬃculty in breathing and shortness of breath reported by patients with more severe cases of COVID-19, and body temperature allows the detection of fever, another of the symptoms of COVID-19. On the other hand, blood pressure is a risk factorfor patients with COVID-19, and changes in HR can also be an indicator of contamination by COVID-19 of asymptomatic people. AI algorithms are used to analyze the data collected from asymptomatic users and infer a possible contamination by COVID-19, also indicating to the user when it is time to go to the emergency room or seek hospital care.

KW - Artificial intelligence telemedicine

KW - Covid-19 diagnosis

KW - Health informatics

KW - Medical assistant

KW - Artificial intelligence telemedicine

KW - Covid-19 diagnosis

KW - Health informatics

KW - Medical assistant

UR - https://link.springer.com/chapter/10.1007/978-3-030-68418-1_3

U2 - 10.1007/978-3-030-68418-1_3

DO - 10.1007/978-3-030-68418-1_3

M3 - Paper

T2 - 2021 International Conference on Information Technology & Systems (ICITS 2021)

Y2 - 4 February 2021 through 6 February 2021

ER -

Coelho Y, Lampier L, Caldeira E, Delisle Rodriguez D, Villa Parra AC , Cobos Maldonado CM et al.. Towards the Use of Artificial Intelligence Techniques in Biomedical Data from an Integrated Portable Medical Assistant to Infer Asymptomatic Cases of Covid-19. 2021. Papel presentado en 2021 International Conference on Information Technology & Systems (ICITS 2021). doi: 10.1007/978-3-030-68418-1_3