International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 2 (March-April 2026) Submit your research before last 3 days of April to publish your research paper in the issue of March-April.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 8 Issue 2
March-April 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Automation Health Monitoring System

Author(s) Dr. Dr. J. Aruna, Mr. S. Arivarasan, Mathivathani T, Sowmiga S V, Gopika S, Mathivathani S
Country India
Abstract Health monitoring is a crucial part of caring for patients with chronic diseases, elderly individuals, or people who need constant medical attention. However, it is not always possible for healthcare professionals or family members to stay with a patient all the time. To solve this challenge, this paper introduces an Automated Health Monitoring System that helps track a person’s health continuously and from a distance. The system uses comfortable wearable sensors to measure important health details such as heart rate, body temperature, oxygen level (SpO₂), ECG, and movement activity. All the information collected is sent wirelessly to a cloud platform where doctors or caregivers can easily view the patient’s current health status on a dashboard or mobile app.
A special feature of this system is the use of artificial intelligence to detect when something is wrong. The system automatically compares the patient’s current readings with their usual health patterns and alerts caregivers if it finds signs of trouble such as an abnormal heartbeat, low oxygen level, or if the patient falls suddenly. To provide faster help in emergencies, a built-in GPS tracker also shares the patient’s location when an alert is triggered.
This system reduces the burden of manual monitoring and helps ensure that patients receive quick support when needed. It can be used at home, in hospitals, or even in remote places where medical services are limited. Because it is affordable, easy to set up, and designed to grow with additional sensors and features in the future, it is a practical solution for improving health and safety using modern technology.
Beyond emergency support, this system also encourages patients to stay informed and engaged with their own health. By allowing users to view their daily health trends on their personal devices, it helps them understand their lifestyle impact and make better decisions for their well-being. Doctors can also use the stored long-term data to track improvements or early warning signs that may not be noticed in occasional checkups. This continuous flow of information strengthens communication between patients, families, and healthcare providers, leading to timely treatment and better long-term care. Overall, this automated system aims to provide not only technology-based healthcare but also peace of mind for patients and their loved ones.
Keywords Internet of Things (IoT), Automated Health Monitoring, Wearable Biosensors, Real-time Data Tracking, Artificial Intelligence, Anomaly Detection, Remote Healthcare, Cloud Computing, Mobile Health Application (m-Health), Patient Safety, GPS-based Emergency Alert System.
Field Computer Applications
Published In Volume 8, Issue 2, March-April 2026
Published On 2026-03-27
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 8 Isu 2Cover Page Vol 8 Isu 1Cover Page Vol 7 Isu 6

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com
Powered by Sky Research Publication and Journals