Date of Award


Document Type


Degree Name

Master of Science (MS)


Electrical Engineering

First Advisor

Tian . Xia

Second Advisor

Safwan . Wshah


In this research, we investigate a data processing method to capture the respiratory rate of a person by utilizing a doppler radar to monitor their body movement during respiration. We utilize a machine learning algorithm with a radar sensor to capture the chest movement of a person while breathing and determine the respiratory rate according to that movement. We are using a Random Forest classifier to distinguish between different classes of pulses. After that, the algorithm constructs a sinusoidal signal representing the breathing rate of the sample. By applying this technique, we can detect the breathing rate accurately for different subjects by analyzing the evolution of the reflected pulse while breathing. Furthermore, we can detect the change in pulse width ratio between the pulses of the classes across multiple breaths



Number of Pages

65 p.