Monitoring Vital Signs Using Embedded AI in Wearable Devices

Explore a 19-minute conference talk from tinyML EMEA featuring Lina Wei, a Machine Learning Engineer at 7 Sensing Software, who discusses the implementation of embedded AI for vital signs monitoring in wearable devices. Learn how the combination of ams OSRAM medical sensors and embedded AI technology enables unobtrusive daily monitoring of respiratory rates, a crucial vital sign that can predict serious health conditions like cardiopulmonary arrest. Discover how deep learning solutions have been developed to overcome data complexity challenges, achieving accuracy comparable to medical-grade devices while being optimized for low-end microcontrollers. Gain insights into the practical application of this technology as it is being integrated into smart watches by OEMs for continuous respiratory rate monitoring, demonstrating the convergence of wearable technology and healthcare innovation.