International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 06 | Jun 2025
p-ISSN: 2395-0072
www.irjet.net
Real-Time Health Monitoring System using Wearable IoT Devices and Cloud Storage Priya Pal1, Deepshikha2 1Master of Technology, Computer Science and Engineering, Lucknow Institute of Technology, Lucknow, India 2Assistant Professor, Department of Computer Science and Engineering, Lucknow Institute of Technology,
Lucknow, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - The real-time health monitoring systems have
an indication that it is high time to take shift from reactive healthcare models to proactive health care models. In general, episodic care that is hospital centric and as well mostly based on traditional health systems fails to deliver timely, consistent and individual care. Such systems are not scalable and responsive enough and can be used only to manage long-term health monitoring in rural or resource-limited settings.
also been developed at a high rate due to the rising number of chronic diseases and the desire to give remote care to patients. In the proposed study, the proposed framework converges wearable Internet of Things devices with a hybrid cloud edge solution to provide timely and safe healthcare delivery. The given system utilizes low-power sensors with ECG, SpO 2, and temperature that are embedded into a wearable patch powered by ESP32 microcontrol. Curating of data at the edge whereby the data is pre-processed through wavelet transform and anomaly detection algorithms and sent to the cloud platforms like AWS using MQTT-SN to store long term and advance analytical processing. The system employs LSTM-based models to make prognoses on critical health conditions and applies HL7 FHIR standards to integrate EHR without any issues. With 50 patients tested on clinical validation, there was an accuracy of qualifying 96 percent of arrhythmia and hospital readmission was 22 percent lesser. The mean time of critical alerts was minimized to 220 milliseconds, and it exceeded that of market products, such as Fitbit Sense. Both clinicians and patients observed the easy-to-use dashboards and notifications mechanism and reported all-time high comfort and compliance levels. This model illustrates the possibility of real-time, secure, and intelligent health monitoring to promote preventive care and responsiveness of clinical services, particularly, on resource-limited settings.
In this respect, an alternative that promises to revolutionize the process of real-time health monitoring is provided by the Internet of Things (IoT) and wearable technology. The lifestyle of wearing IoT devices, including ECG patches, smartwatches, pulse oximeters, enables constant patient monitoring of such vital signs as heart rate, oxygen saturation, and body temperature. With the add-ons consisting of cloud-powered systems and machine learning analytics, these devices have the potential to enable early identification of abnormalities, automate warnings, and relieve a huge burden on healthcare facilities. Consequently, the real-time monitoring is on the brink of healthcare inventions in the contemporary setting.
1.2 Motivation and Problem Statement Even though there is an increasing number of IoT-based health monitoring systems to provide more details on almost all aspects related to health monitoring, the design of existing systems is usually associated with a number of limitations. The most prominent of them are low speeds in terms of processing data, poor security standards, and high energy consumption which restricts the possible working life of portable gadgets. In most of the established models, sensor data is sent back to central cloud servers, to perform processing and often this is the major bottleneck when it comes to responding to time-sensitive applications like arrhythmias of oxygen desaturation. Moreover, no end-to-end encryption combined with uniformity of protocols put in danger sensitive health data due to cyber-attacks and unauthorized access.
Key Words: Real-Time Monitoring, Wearable IoT, Edge Computing, Cloud Analytics, Health Informatics, Anomaly Detection, HL7 FHIR Integration.
1. INTRODUCTION 1.1 Background There is a paradigm shift in the global healthcare system because of the technological innovations as well as due to the urgent needs of the society. Cases of chronic illnesses, including diabetes, cardiovascular illness, and lung ailments, are steadily increasing, and an aging population, especially, in areas like Europe and East Asia, is overwhelming the healthcare facilities to an extent never before witnessed. The World Health Organization reports show that about 71 percent of the causes of deaths across the board are as a result of chronic conditions and there is
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Furthermore, wearable health gadgets are generally characterized with poor battery lives as they need constant sensing and data transmission; the latter demands regular battery charging of these devices and
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