Smart Healthcare Monitoring System Using Raspberry Pi 4

PONNALA NIKHIL REDDY

GPRS/GSM sensor, GPS Sensor, ECG Sensor, Pulse Oximetry sensor, Humidity and temperature sensor, Raspberry pi 4

The development of healthcare is extremely crucial to our daily lives. My project involves obtaining patient information to monitor a few important health parameters of a person which have been measured using an ECG sensor, a MAX30100 pulse oximetry sensor, a GPS sensor, and a SIM900A GPRS/GSM sensor. These input sensors are attached to a Raspberry Pi 4 so that the data can be measured and when a threshold rate is obtained nearby the doctor or caregiver, an alert is sent using the GSM module to facilitate communication between the doctor and patients in the event of an emergency. My project is focused on developing software that would allow doctors to monitor patients without their regular presence. By including sensors, those modules are to ensure that patients receive the opportunity for 24/7 service that the doctor can record and they can receive warning in the event of an emergency service, such as an SMS alert. This platform is very beneficial for patients who require ongoing home care or regular checkups. Furthermore, physiological sensors which I have used, many more sensors can be interfaced to add many other types of health checkups, to be included in the smart health development system.

Published Paper   E-Certificate

"Smart Healthcare Monitoring System Using Raspberry Pi 4", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.e1-e5, March-2023, Available :https://ijnrd.org/papers/IJNRD2303401.pdf

Volume 8 Issue 3, March-2023

Pages : e1-e5

Paper Reg. ID: IJNRD_189621

Published Paper Id: IJNRD2303401

Downloads: 000118855

Research Area: Engineering

Country: Hyderabad, Telangana, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2303401

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2303401

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition