Radar usage in respiratory rate measurement

Presenter's Name(s)

Anwar Elhadad, UVMFollow

Conference Year

January 2019

Abstract

Little consensus exists in the literature regarding methods for determination of respiratory rate using wireless methods. Developing such technology is needed due to the skin damage the constant contact some sensors cause. In this paper, I will discuss a new processing method to capture the respiratory rate of a person in from a radar data set wirelessly. We tried to utilize an ultra-sonic sensor to capture the chest movement of a person while breathing and determine the respiratory rate according to that movement. After applying our technique, we were able detect the breathing pattern for multiple samples with a high accuracy along 60s of sampling.

Primary Faculty Mentor Name

Tian Xia

Secondary Mentor Name

Tim Sullivan

Faculty/Staff Collaborators

Collaborating Mentor

Status

Graduate

Student College

College of Engineering and Mathematical Sciences

Program/Major

Electrical Engineering

Primary Research Category

Engineering & Physical Sciences

Tertiary Research Category

Engineering & Physical Sciences

Abstract only.

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Radar usage in respiratory rate measurement

Little consensus exists in the literature regarding methods for determination of respiratory rate using wireless methods. Developing such technology is needed due to the skin damage the constant contact some sensors cause. In this paper, I will discuss a new processing method to capture the respiratory rate of a person in from a radar data set wirelessly. We tried to utilize an ultra-sonic sensor to capture the chest movement of a person while breathing and determine the respiratory rate according to that movement. After applying our technique, we were able detect the breathing pattern for multiple samples with a high accuracy along 60s of sampling.