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Paper ID:IJSREM63305

A Low-Cost IoT-Based Smart Health Monitoring Band Using ESP32 and MQTT for Real-Time Health Tracking

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM63305

Volume:

10 |

5 |

May 2026

Pages:

1-7

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM63305

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PK

Puja Kashyap

Electronic & Telecommunication Engineering

Priyadarshini Bhagwati College Of Engineering

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PR

Pranjali Ramteke

Electronic & Telecommunication Engineering

Priyadarshini Bhagwati College Of Engineering

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PT

Pratham Tulaskar

Electronic & Telecommunication Engineering

Priyadarshini Bhagwati College Of Engineering

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MPC

Mrs. Prithvi Chawla

Electronic & Telecommunication Engineering

Priyadarshini Bhagwati College Of Engineering

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KM

Kapil Manjare

Electronic & Telecommunication Engineering

Priyadarshini Bhagwati College Of Engineering

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PU

Piyush Umale

Electronic & Telecommunication Engineering

Priyadarshini Bhagwati College Of Engineering

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MPC

Mrs. Prithvi Chawla

Electronic & Telecommunication Engineering

Priyadarshini Bhagwati College Of Engineering

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Abstract

This paper presents the design and development of an IoT-based smart health monitoring band utilizing the ESP32 microcontroller and MQTT communication protocol. The primary objective of the system is to provide a low-cost, portable, and real-time solution for monitoring vital health parameters such as heart rate, body temperature, and motion activity. The system integrates multiple biomedical sensors, including the MAX30102 photoplethysmography (PPG) sensor for heart rate monitoring, the DS18B20 digital temperature sensor, and the MPU6050 inertial measurement unit (IMU) for motion detection. The collected sensor data is processed by the ESP32 microcontroller and transmitted to a cloud-based platform using the lightweight MQTT protocol via a HiveMQ broker, enabling remote monitoring and data logging. A 0.96-inch OLED display is incorporated for real-time visualization of health parameters, while an active buzzer provides alert notifications during abnormal conditions. The proposed system emphasizes a decentralized and energy-efficient architecture, supported by a lithium-ion battery and an optimized power management circuit using the TP4056 charging module and AMS1117 voltage regulator. Experimental evaluation demonstrates reliable data acquisition, low communication latency, and stable performance under continuous operation. This work highlights the potential of integrating IoT and embedded systems in wearable healthcare devices, offering an affordable and scalable solution for continuous health monitoring, especially in remote and resource-constrained environments.

KEYWORDS

KeyWords: IoT-Based Health Monitoring ESP32 Microcontroller MAX30102 Sensor DS18B20 MPU6050 MQTT Protocol HiveMQ Wearable Device Smart Health Band Embedded Systems Real-Time Monitoring Biomedical Sensors Cloud Integration

Cite This Article

Puja Kashyap, Pranjali Ramteke, Pratham Tulaskar, Mrs. Prithvi Chawla, Kapil Manjare, Piyush Umale, Mrs. Prithvi Chawla, "A Low-Cost IoT-Based Smart Health Monitoring Band Using ESP32 and MQTT for Real-Time Health Tracking," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-7, May 2026. https://doi.org/10.55041/IJSREM63305

Full Article/Conclusion

The proposed IoT-based smart health monitoring band successfully demonstrates a low-cost, real-time, and efficient healthcare solution using ESP32 and MQTT communication. The system is capable of continuously monitoring vital parameters such as heart rate, body temperature, and motion, and transmitting the data to a cloud platform for remote access and analysis. The integration of multiple sensors with a dual-core microcontroller ensures reliable performance and low-latency response. The use of MQTT protocol provides efficient and lightweight communication, making the system suitable for real-time IoT applications. The wearable design enhances portability and enables continuous health tracking in daily life. Experimental results confirm that the system delivers stable performance with acceptable accuracy and minimal delay. The inclusion of an alert mechanism further improves user safety by providing immediate notifications during abnormal conditions. Overall, the developed system offers a cost-effective, scalable, and intelligent solution for modern healthcare monitoring. It has strong potential for applications in remote patient monitoring, fitness tracking, and smart healthcare systems.

References

[1] G. Bradski and A. Kaehler, “Learning OpenCV: Computer Vision with the OpenCV Library,” O’Reilly Media, 2008.s [2] K. Ashton, “That ‘Internet of Things’ Thing,” RFID Journal, 2009. [3] A. Pantelopoulos and N. G. Bourbakis, “A Survey on Wearable Sensor-Based Systems for Health Monitoring,” IEEE Transactions on Systems, 2010. [4] R. Want, B. Schilit, and S. Jenson, “Enabling the Internet of Things,” IEEE Computer, 2015. [5] P. Sethi and S. R. Sarangi, “Internet of Things: Architectures, Protocols, and Applications,” Journal of Electrical and Computer Engineering, 2017. [6] J. Redmon and A. Farhadi, “YOLO9000: Better, Faster, Stronger,” IEEE CVPR, 2017. [7] S. K. Lakshmanan and R. Kumar, “Real-Time Monitoring using Embedded Systems,” IEEE Conference, 2018. [8] U. Satija, B. Ramkumar, and M. S. Manikandan, “ECG Signal Processing for Health Monitoring,” IEEE Reviews in Biomedical Engineering, 2018. [9] A. Gupta and R. Bansal, “Performance Analysis of MQTT and HTTP Protocols for IoT Applications,” IEEE Conference, 2019. [10] M. Kaur and J. Singh, “A Review of IoT-Based Health Monitoring Systems,” IJCA, 2019.

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Publication Date

5/15/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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