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 language | English |
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Title of host publication | Distributed Computing and Optimization Techniques - Select Proceedings of ICDCOT 2021 |
Editors | Sudhan Majhi, Rocío Pérez de Prado, Chandrappa Dasanapura Nanjundaiah |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 831-840 |
Number of pages | 10 |
ISBN (Print) | 9789811922800 |
DOIs | |
State | Published - 2022 |
Event | International Conference on Distributed Computing and Optimization Techniques, ICDCOT 2021 - Bangalore, India Duration: 25 Jun 2021 → 26 Jun 2021 |
Publication series
Name | Lecture Notes in Electrical Engineering |
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Volume | 903 |
ISSN (Print) | 1876-1100 |
ISSN (Electronic) | 1876-1119 |
Conference
Conference | International Conference on Distributed Computing and Optimization Techniques, ICDCOT 2021 |
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Country/Territory | India |
City | Bangalore |
Period | 25/06/21 → 26/06/21 |
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