International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 12 | Dec 2025
p-ISSN: 2395-0072
www.irjet.net
REAL-TIME HEALTH MONITORING SYSTEM FOR COMA PATIENTS Anish Nadgouda1, Deepak Sharma2, Kushi Shetty3, Mouna B4 , Dr. Aswathappa P. 5 *1*2*3*4 Student, Department of Electronics and Instrumentation, BIT, Bengaluru,
Karnataka, India.
*5 Associate Professor and HOD, Department Of Electronics And Instrumentation Engineering, BIT,
Bengaluru, Karnataka, India. ---------------------------------------------------------------------***----------------------------------------------------------------------
ABSTRACT - Coma patients require continuous and accurate monitoring of physiological parameters to prevent life- threatening conditions. Traditional observation methods rely on manual supervision, which is prone to delay and human error. This paper presents an IoT-based real-time health monitoring system that continuously tracks vital parameters, including heart rate, SpO₂, body temperature, and limb movement. The proposed system integrates MAX30102, DS18B20, Flex Sensor, and DHT11 with an ESP32 controller to collect data and upload it to the Thing Speak cloud for remote access. In case of abnormal readings, the system triggers alerts through a buzzer to notify caregivers. The show offers reliable data acquisition, low latency in cloud updates, and cost-effective operation suitable for hospital and home environments. This solution enhances patient safety and provides a scalable framework for continuous health surveillance. Keywords: IoT, Coma Patients, Health Monitoring, MAX30102, ESP32, Thing Speak, Real-Time Alerts.
INTRODUCTION Monitoring coma patients poses unique challenges since these individuals cannot communicate symptoms or distress. Continuous supervision is critical to detect variations in vital parameters such as oxygen saturation, heart rate, and body temperature. Conventional hospital monitoring relies on periodic manual checks and expensive ICU-grade equipment, which are unsuitable for long-term or home-based care. Recent advancements in the Internet of Things (IoT) have enabled remote and automated health monitoring through sensor-based systems. By integrating biomedical sensors with microcontrollers and cloud platforms, real-time data can be captured, analyzed, and transmitted to healthcare providers instantly. The proposed Real-Time Health Monitoring System for Coma Patients is designed to provide 24/7 automated tracking of key physiological parameters. It uses low-power, affordable components to continuously collect data and transmit it over Wi-Fi to the cloud. Threshold-based alerts enable immediate action during critical health events, reducing response time and improving survival rates. This system aims to bridge the gap between hospital-grade monitoring and affordable patient-centric healthcare by ensuring accessibility, mobility, and reliability.
I.
METHODOLOGY
The development of the proposed system follows a structured methodology consisting of hardware design, software programming, and cloud integration. Step 1 – Component Selection The system employs the following key components: ESP 32: Main microcontroller with Wi-Fi capability. MAX30102: Measures heart rate and SpO₂ using photo plethysmo grapy. DS18B20: Digital sensor for precise body-temperature measurement. Flex Sensor: Detects limb movements to indicate neurological activity. DHT11: Monitors ambient temperature and humidity. I2C LCD: Displays live sensor readings. Alerts: Generates audible alerts when thresholds are crossed.
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