Abstract: An ultra-wideband (UWB) radar system for non-invasive, real-time tumor tracking includes an UWB transmitter arranged to transmit radar pulses to penetrate a region of interest of a patient; an UWB receiver arranged to receive radar return pulses after being reflected by tumor tissue in the region of interest of the patient; and an UWB signal processor constructed to communicate with the UWB receiver, wherein the UWB transmitter and the UWB receiver are constructed to be arranged sufficiently far away from the patient so as to avoid interfering with radiation treatment of the tumor.

Abstract: A multi-criteria event detection system, comprising a plurality of sensors, wherein each sensor is capable of detecting a signature characteristic of a presence of an event and providing an output indicating the same. A processor for receiving each output of the plurality of sensors is also employed. The processor includes a probabilistic neural network for processing the sensor outputs. The probabilistic neural network comprises a nonlinear, nor-parametric pattern recognition algorithm that operates by defining a probability density function for a plurality of data sets that are each based on a training set data and an optimized kernel width parameter. The plurality of data sets includes a baseline, non-event, first data set; a second, event data set; and a third, nuisance data set.