Machine Learning for Respiratory Detection Via UWB Radar Sensor

This paper focuses on detecting the respiratory of a person by utilizing a doppler radar to monitor the chest movement during respiration. Specifically, machine learning approach in conjunction with the radar sensor is utilized to capture the radar reflection pulse signal and its movement patterns. By analyzing the evolution of the reflected pulse while breathing, the respiratory rate can be accurately measured. In addition, the change of respiration ratio and respiration patterns can be characterized.