Abstract: In the realm of healthcare and wearable technology, the integration of Internet of Things (IoT) devices has revolutionized the way we monitor vital signs and ensure timely medical interventions. This abstract presents a comprehensive wireless human pulse monitoring system that amalgamates various sensors, a mobile application, and robotics for enhanced functionality and mobility.The core components of the system include a pulse rate sensor, a pulse oximeter, an ECG sensor, a humidity sensor, and a temperature sensor. These sensors collectively provide a holistic view of the individual's physiological parameters, enabling real-time monitoring and analysis. Additionally, the integration of a Blynk application facilitates remote monitoring and data visualization, empowering users to track their vital signs seamlessly.Furthermore, the inclusion of an ESP32 Cam enhances the system's capabilities by enabling video streaming for visual monitoring and analysis. The ESP32 Cam captures live footage, which can be transmitted to the Blynk application for remote viewing, allowing caregivers or healthcare professionals to assess the user's condition more comprehensively.
Moreover, to augment the system's mobility and engagement, a robotics component is incorporated utilizing an L298N motor driver. This component enables the implementation of a robot chase scenario, where a robot equipped with sensors and actuators responds to the user's physiological signals. For instance, the robot could be programmed to approach the user in case of abnormal vital signs or to provide assistance in emergency situations.Overall, the proposed wireless human pulse monitoring system offers a multifaceted approach to healthcare monitoring, leveraging IoT technology, mobile applications, video streaming, and robotics. By seamlessly integrating various sensors and devices, the system provides a comprehensive solution for real-time health monitoring, ensuring prompt intervention and personalized care.
Keywords: Wireless,IoT (Internet of Things),Wearable Technology,Remote Monitoring,Healthcare
| DOI: 10.17148/IARJSET.2024.11431