Health Monitoring System for Elderly Patients

DOI

10.2991/978-94-6463-190-6_17How to use a DOI?

Keywords

elderly; health monitoring system

Abstract

Indonesia experienced an increase in the number of elderly people from 18 million people (7.56%) in 2010 to 25.9 million people (9.7%) in 2019, and is expected to continue to increase where in 2035 to 48.2 million people (15,77%). On the other hand, this increase in age is accompanied by complexity of problems faced by the elderly. This happens because the increase in age entails a decline in various functions of the human body, which puts the elderly wiatigher risk factors for various degenerative diseases. The reduction of many community-based services and the social distancing restrictions thatng the COVID-19 pandemic are some of the primary reasons for using health technology to provide remote monitoring for the elderly. This study proposed the system that naa LansiaCnaansiaCare that was designedis signs such as heart rate, blood pressure, oxygen saturation and temperature. This system using a wearable device (smart banuses a Data Acquisition Device (DAD). Once the data is retrieved, it is sent to the cloud system and displayed on the mobile application (family and elderly people) and dashboard (doctors and medical staff). Medical sensors are used to collect vital sign data from patients and to collect physiological data from patients. The last stage is making the interface design for the application. This mobile application for the elderly is made by paying attention to every aspect of the user interface that is in accordance with the needs of thebyeatures needed by the elderly so that their health conditions can always be monitored by the elderly themselves, their families, and medical staff.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Erna Rochmawati
AU  - Winny Setyonugroho
AU  - Sentagi Sesotya Utami
AU  - Iman Permana
AU  - Tri Lestari
PY  - 2023
DA  - 2023/07/27
TI  - Health Monitoring System for Elderly Patients
BT  - Proceedings of the 2022 ‘AISYIYAH International Conference on Health and Medical Sciences (A-HMS 2022)
PB  - Atlantis Press
SP  - 125
EP  - 136
SN  - 2468-5739
UR  - https://doi.org/10.2991/978-94-6463-190-6_17
DO  - 10.2991/978-94-6463-190-6_17
ID  - Rochmawati2023
ER  -