Abstract: Various examples related to mobile bodily monitoring using ultra-wideband radar are provided. In one example, a method for determining a bodily characteristic includes collecting sets of reflected backscatter data for a sequence of ultra-wideband (UWB) pulses transmitted via an UWB sensor, and a corresponding calibration measurement from a calibration channel; determining reflection coefficients for each tissue interface based on the sets of reflected backscatter data; and determining a fluid level content of the lung tissue based upon the reflection coefficients. The reflection coefficients can be determined from reflection profiles based upon the reflected backscatter data for that sequence of UWB pulses and the corresponding calibration measurement. The UWB sensor can include an array of transmit (TX) and receive (RX) antenna pairs positioned on a body of a user. The reflection profile can be associated with a model of tissue layers in the body between the UWB sensor and lung tissue.

Abstract: An RF tag system, comprising an RF reader configured to issue a plurality of different RF commands and to provide a continuous RF illumination field, and a plurality of RF tags respectively including a permanent identification; wherein the plurality of RF tags are configured to respond to a certain RF command from the RF reader by transmitting their respective identifications by way of backscatter modulation of the RF illumination field, and wherein the RF tags are further configured to perform the responding by way of respective independently selected random radio frequencies and timeslots from respective pre-defined ranges of radio frequencies and timeslots.

Abstract: An RF tag system, comprising an RF reader configured to issue a plurality of different RF commands and to provide a continuous RF illumination field, and a plurality of RF tags respectively including a permanent identification; wherein the plurality of RF tags are configured to respond to a certain RF command from the RF reader by transmitting their respective identifications by way of backscatter modulation of the RF illumination field, and wherein the RF tags are further configured to perform the responding by way of respective independently selected random radio frequencies and timeslots from respective pre-defined ranges of radio frequencies and timeslots.

Abstract: Sequential detection networks are provided that do not rely on statistical models for the source statistics such as source conditional density functions. Further, the present invention provides sequential detection networks that are adaptive to on-line changes in the source statistics and are thus applicable to the analysis of dynamic problems including those with complex density functions. The present invention also provides sequential detection networks that can automatically make a decision to either accept a next data sample or make a classification decision based upon cost determinations. Still further, the present invention provides sequential detection networks that can automatically make decisions on the order of sampling from a given set of data streams.