 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: June 2026
Volume 11 | Issue 6
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 121
Article Submitted : 24303
Article Published : 9275
Total Authors : 24684
Total Reviewer : 850
Total Countries : 166
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | IoT-Based Smart Remote Patient Monitoring System Using ESP32 and Cloud Analytics for Real-Time Healthcare |
| Authors Name: | Swara Kakade , Dr. Amol More , Aditya Deshmukh , Atharv Deshpande , Neha Maind, Chaitanya Kamble |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_212811
|
| Published Paper Id: | IJRTI2605128 |
| Published In: | Volume 11 Issue 5, May-2026 |
| DOI: | |
| Abstract: | The rapid growth of chronic diseases and increasing pressure on healthcare infrastructure have created a significant demand for intelligent and cost-effective remote healthcare solutions. This paper presents the design and development of an IoT-based Smart Remote Patient Monitoring System capable of continuously tracking critical physiological parameters such as heart rate, blood oxygen saturation (SpO₂), body temperature, blood pressure, and blood glucose levels. The proposed system utilizes an ESP32 microcontroller integrated with biomedical sensors including MAX30102 and DS18B20 for real-time data acquisition. The collected health data is securely transmitted through Wi-Fi to a cloud-based web and mobile monitoring platform, enabling doctors and caregivers to remotely access patient information. To improve reliability during unstable internet connectivity, a GSM communication module is incorporated for emergency alert transmission. The system also includes an automated notification mechanism that instantly alerts healthcare providers whenever abnormal physiological conditions are detected. Experimental evaluation demonstrates low transmission latency, high data reliability, and acceptable sensor accuracy for non-clinical healthcare applications. The proposed framework is scalable, energy-efficient, and economically viable for long-term healthcare monitoring. Furthermore, the system offers future integration possibilities with Artificial Intelligence and edge-based machine learning for predictive analytics and intelligent healthcare decision-making in smart digital healthcare environments. |
| Keywords: | Remote Patient Monitoring, ESP32, Healthcare Analytics, Edge Computing, Machine Learning, Smart Healthcare, Telemedicine, Internet of Things (IoT) |
| Cite Article: | "IoT-Based Smart Remote Patient Monitoring System Using ESP32 and Cloud Analytics for Real-Time Healthcare ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.b228-b235, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605128.pdf |
| Downloads: | 00051 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2605128
Registration ID:212811
Published In: Volume 11 Issue 5, May-2026
DOI (Digital Object Identifier):
Page No: b228-b235 Country: Pune, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2605128 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2605128 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2026 - All Rights Reserved - IJRTI | |||