IoMT: Rinku's Clinical Kit Applied to Collect Information Related to COVID-19 Through Medical Sensors

Francisco Rodriguez; Gutiérrez, Sebastián; Bersain A. Reyes; Viridiana Rosas; Martha V. Silva Rubio; Aldo Mejia Rodriguez; Ricardo Marcelin Jimenez; Francisco J. Hernandez Olvera; Oscar Sosa Hernandez

doi:10.1109/TLA.2021.9451246

IoMT: Rinku's Clinical Kit Applied to Collect Information Related to COVID-19 Through Medical Sensors

Journal

IEEE Latin America Transactions

ISSN

1548-0992

Date Issued

2021

Author(s)

Francisco Rodriguez

Gutiérrez, Sebastián

Facultad de Ingeniería - CampAGS

Bersain A. Reyes

Viridiana Rosas

Martha V. Silva Rubio

Aldo Mejia Rodriguez

Ricardo Marcelin Jimenez

Francisco J. Hernandez Olvera

Oscar Sosa Hernandez

Type

text::journal::journal article

DOI

10.1109/TLA.2021.9451246

URL

https://scripta.up.edu.mx/handle/20.500.12552/3203

Abstract

COVID-19 healthcare professionals recommend the general population staying at home and remote contacting the authorities, e.g. via SMS messages, if they show symptoms like cough, body pain, fever, and breathing difficulties. Although this approach considers the patient self-report, it is not supported by physiological data, i.e. medical personnel does not have a remote mechanism to validate such symptoms. This paper proposes a system, called Rinku, to address the abovementioned scenario. Rinku integrates an electronic system (ClinicalKit) comprising biomedical sensors for body temperature, pulse rate, and oxygen saturation, as well as a digital platform for storing and displaying the collected data. Rinku system aims to provide health professionals with relevant information to remotely validate COVID-19 symptoms. Rinku can handle simultaneous information from multiple patients and provide valuable data related to the severity of the reported symptoms, which in turn could help healthcare professionals to make management decisions to optimize their clinical resources. In this paper, the functionality of the ClinicalKit, communication between the IoT architecture and the cloud, and the monitoring of physiological parameters were tested. The results showed that the enclosure design is convenient, IoT architecture is functional and the tracking of temperature, heart rate, and blood oxygen levels from subjects is promising. We consider that the Rinku system has the potential to provide an accurate forecast regarding the demand for clinical resources and take prompt actions related to this pandemic.