IoT-Based Elderly Emergency Health Monitoring System integrated with a Smart Ambulance mechanism

Information Technology

The increasing elderly population and the rising number of senior citizens living independently have created a strong need for continuous health monitoring and rapid emergency response systems. Elderly individuals are highly vulnerable to sudden medical emergencies such as heart attacks, abnormal heart rate, low oxygen levels (SpO₂), high body temperature, and accidental falls. Delays in detecting these conditions and late ambulance response often lead to serious complications or even loss of life. To address this issue, this project proposes an IoT-Based Elderly Emergency Health Monitoring System integrated with a Smart Ambulance mechanism. The proposed system utilizes wearable health sensors to continuously monitor vital parameters such as heart rate, oxygen saturation (SpO₂), body temperature, and body movement for fall detection. These sensors are connected to a microcontroller (NodeMCU), which processes the collected data and compares it with predefined safe threshold values. The processed data is transmitted to a cloud platform using IoT technology, enabling real-time remote monitoring by caregivers and healthcare professionals. In case of any abnormal health condition, the system automatically detects the emergency and immediately sends alert notifications to family members, caregivers, and emergency medical services. A GPS module integrated into the system provides real-time location tracking, ensuring that the patient’s exact location is shared during emergencies. Furthermore, the smart ambulance integration allows medical personnel to receive the patient’s live health data before reaching the location, enabling them to prepare necessary medical equipment and treatment in advance. This significantly reduces response time and improves the efficiency of emergency healthcare services. The proposed system enhances elderly safety, ensures faster emergency response, supports remote health monitoring, and promotes independent living. It is cost-effective, scalable, and suitable for home use, old-age homes, and rural healthcare facilities. Overall, this project demonstrates how IoT technology can be effectively implemented to develop a smart, reliable, and life-saving healthcare solution for elderly individuals.

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