Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{199516,
author = {Abhishek Yadav and Mrs. Abhilasha Jain and Ankush Soam and Akhilesh Anand Pandey},
title = {Sensor Involved Self Intelligent Health Acquisition System using Raspberry Pi Controller},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {11},
pages = {15663-15670},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=199516},
abstract = {The medical disorders such as cardiovascular diseases, respiratory disorders, and age-related health complications have created an immerging area in health tracking systems. Recently, the use of various sensors in Internet of Things (IoT) has emerged as an attractive technology in the healthcare domain through 24*7 patient observation system. This paper introduces an IoT-based intelligent health diagnostic technique using Raspberry Pi as the core processing unit. The proposed system will continuously monitors essential parameters like heart rate, and body temperature through biomedical sensors. The acquired data is transmitted via Wi-Fi in the form of a message to the hospital and patient’s near member for secure storage and real-time observation and service provision (if needed). The proposed works increases healthcare efficiency, ensures early disease detection, and improves accessibility for aged and remotely located persons.},
keywords = {Internet of Things (IoT), Intelligent Health Acquisition, Raspberry Pi, Biomedical Sensors, Cloud Computing},
month = {April},
}
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