<title>Applications of neural networks to the radarcardiogram (RCG)</title>

Abstract

Displacement cardiography techniques such as the ballistocardiogram and seismocardiogram use accelerometers to measure body motion caused by the beating heart. The radarcardiogram (RCG) measures this motion using highly sensitive radar developed at the Georgia Tech Research Institute. Combining the portability and non-invasiveness of radar along with neural network processing techniques opens a host of potential new applications including unknown person identification, stress measurement, and medical diagnosis.Correlation between displacement cardiography and the RCG will be discussed along with preliminary research using RCG data and a neural network to identify unknown persons. It was found that a neural network could accurately identify the RCG of an unknown individual out of a small pool of training data. In addition, the system was able to correctly reject individuals not within the training set.

Heartbeat biometrics: a sensing system perspective

“…Researchers at Georgia Technology Research Institute (GTRI) used an active radar to note the changes heart volume over time (Greneker, 1997;Geisheimer and Greneker III, 1999). The physical deformation provides extensive information about the individual and the relative health of the heart itself along with respiration and other body movements and muscle flexor noises.…”