Design and Implementation of a Natural Respiratory Rate Monitoring System Using Flex and Inertial Sensors on Medium-Power Microcontrollers

In the rapidly advancing realm of science and technology, the development of health monitoring systems is emerging as a vital trend, contributing significantly to improving human life quality. A noteworthy domain is the surveillance of individuals’ natural respiratory rates during daily activities. These rates hold the potential to offer insights beyond simple health metrics and provide a comprehensive evaluation of overall well-being. This study proposes a wearable device system capable of autonomously tracking and recording natural respiratory rates during various activities, including standing, sitting, lying down, and walking. The system intelligently integrates flexible and inertial sensors. Flexible sensors detect body shape changes, while inertial sensors monitor movements and positions. This fusion enables the system to accurately and continuously measure natural respiratory rates, even with shifts in user positions and activities. Additionally, the system employs medium-power microcontrollers to process sensor data, conserving energy and ensuring real-time data processing. This approach guarantees the continuous and accurate update of respiratory rate information. With potential applications in healthcare, sports, and personal health management, this research promises numerous prospects. Monitoring natural respiratory rates through a system of flexible and inertial sensors on a medium-power microcontroller platform opens a new avenue for research, holding the potential to positively impact human health and overall quality of life.