*********************************
There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
*********************************
Title: Noncontact Seismocardiogram Signal Detection using Microwave Doppler Radar
Committee:
Dr. Ying Zhang, ECE, Chair , Advisor
Dr. Gregory Durgin, ECE
Dr. Omer Inan, ECE
Dr. Andrew Peterson, ECE
Dr. Yang Wang, CEE
Abstract:
The objective of the research is to achieve non-contact detection of a cardiac signal seismocardiogram (SCG) using microwave Doppler radar system. The development of the health monitoring brings an increasing demand on robust, reliable and accurate remote detection of cardiac signal. Based on the ability to penetrate non-metal obstacles, microwave Doppler radar is promising to provide a non-contact and unobtrusive measurement. To detect an accurate and reliable cardiac signal, both the hardware system and the signal processing approaches are developed. First, a noise suppression scheme and a clutter removal strategy are investigated to improve the performance of a microwave Doppler radar system. Then, further investigation on detected radar signal is conducted to verify that it can represent the cardiac signal SCG, and a method is developed to independently extract the SCG features from radar signal without using a contact electrocardiogram (ECG) signal that conventional methods rely on. With the investigations on hardware system and signal processing approaches, the complete non-contact detection and evaluation of cardiac healthiness can be achieved.