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

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

Research output: Contribution to conference › Paper

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’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.

Translated title of the contribution	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
Original language	English (US)
DOIs	https://doi.org/10.1007/978-3-030-68418-1_3
State	Published - 12 Feb 2021
Event	2021 International Conference on Information Technology & Systems (ICITS 2021) - EC Duration: 4 Feb 2021 → 6 Feb 2021 http://www.icits.me/

Conference

Conference	2021 International Conference on Information Technology & Systems (ICITS 2021)
Period	4/02/21 → 6/02/21
Internet address	http://www.icits.me/

Keywords

Artificial intelligence telemedicine
Health informatics
Medical assistant
Covid-19 diagnosis

CACES Knowledge Areas

417A Electronics, Automation and Sound

Access to Document

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

Cite this

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. Paper presented at 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, Health informatics, Medical assistant, Covid-19 diagnosis, Artificial intelligence telemedicine, Health informatics, Medical assistant, Covid-19 diagnosis",

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",

url = "http://www.icits.me/",

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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', Paper presented at 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. Paper presented at 2021 International Conference on Information Technology & Systems (ICITS 2021).

Research output: Contribution to conference › Paper

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 - Health informatics

KW - Medical assistant

KW - Covid-19 diagnosis

KW - Artificial intelligence telemedicine

KW - Health informatics

KW - Medical assistant

KW - Covid-19 diagnosis

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. Paper presented at 2021 International Conference on Information Technology & Systems (ICITS 2021). 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

Abstract

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Keywords

CACES Knowledge Areas

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