Title :
Electromagnetic human body modeling with physiological motion for radar applications
Author :
Neely, Romon ; Naishadham, Krishna ; Sharma, Amy ; Bing, Kristin
Author_Institution :
Sensors & Electromagn. Applic. Lab., Georgia Tech Res. Inst., Smyrna, GA, USA
Abstract :
Radar has the potential to be used for both therapeutic and diagnostic medical applications, such as vital sign detection. To date, the focus of research in radar medical applications has been predominantly in algorithm development. Improved performance may, however, be achieved through the optimal selection of radar system parameters. In this paper, we present the implementation and validation of electromagnetic human body models for the purpose of selecting application-specific parameters, such as frequency. Higher fidelity in the models leads to valuable physical insight into how the absorption and reflectivity of the human body phantom may be effectively used for vital sign detection. Toward this goal, the validation of two high fidelity models against each other is presented as well as a representative example of vital sign detection modeling.
Keywords :
medical signal detection; radar detection; algorithm development; application-specific parameters; diagnostic medical application; electromagnetic human body modeling; fidelity models; human body phantom absorption; human body phantom reflectivity; optimal selection; physiological motion; radar applications; radar medical applications; radar system parameters; therapeutic medical application; vital sign detection modeling; Biological system modeling; Brain models; Computational modeling; Phantoms; Radar cross section;
Conference_Titel :
Radar Conference (RADAR), 2012 IEEE
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4673-0656-0
DOI :
10.1109/RADAR.2012.6212250