Telemedicine IoT Prototype “Doctor Pi” for Measuring Elders Vital Signs in Rural Areas of Ecuador

Carlos Bosquez, Wilson Valencia

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This document is focused on the designing of a prototype to be used in telemedicine called “Doctor PI” capable of receiving, transmitting, viewing, alerting, and storing data acquired by nine biomedical sensors, such as glucometer, pulse and oxygen sensor, blood pressure sensor, EMG, ECG, patient position sensor, galvanic response sensor, body temperature sensor and breathing airflow sensor, for elder people around rural areas of Ecuador. The prototype consists of an electronic health system, which in conjunction with Arduino, GSM, and Raspberry Pi will process and store the data for the medical sheet and patient analysis. The physiological parameters obtained are stored in a Raspberry Pi database and displayed via web or mobile APP. SMS alerts will be obtained in case the measured parameters exceed or decrease the values parameterized by the doctor. This prototype aims to help expand telemedicine in rural areas of Ecuador through IoT technologies with low-cost hardware and internet connectivity.

Original languageEnglish
Title of host publicationDistributed Computing and Optimization Techniques - Select Proceedings of ICDCOT 2021
EditorsSudhan Majhi, Rocío Pérez de Prado, Chandrappa Dasanapura Nanjundaiah
PublisherSpringer Science and Business Media Deutschland GmbH
Pages831-840
Number of pages10
ISBN (Print)9789811922800
DOIs
StatePublished - 2022
EventInternational Conference on Distributed Computing and Optimization Techniques, ICDCOT 2021 - Bangalore, India
Duration: 25 Jun 202126 Jun 2021

Publication series

NameLecture Notes in Electrical Engineering
Volume903
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Distributed Computing and Optimization Techniques, ICDCOT 2021
Country/TerritoryIndia
CityBangalore
Period25/06/2126/06/21

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keywords

  • APP
  • ECG
  • EMG
  • GSM
  • IoT
  • Raspberry Pi
  • Telemedicine

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