Abstract: A method for generating and distributing simulated animal data includes a step of receiving a set of real animal data at least partially obtained from one or more sensors that receive, store, or send information related to one or more targeted individuals. Simulated animal data is generated from at least a portion of real animal data or one or more derivatives thereof. Finally, the simulated animal data is provided to a computing device. Characteristically, one or more parameters or variables of the one or more targeted individuals can be modified.

Abstract: An unmanned aerial vehicle-based data collection and distribution system includes a source of animal data that can be transmitted electronically. The source of animal data includes at least one sensor. The animal data is collected from at least one target individual. The system also includes an unmanned aerial vehicle that receives the animal data from the source of animal data as a first set of received animal data and a home station that receives the first set of received animal data. Characteristically, the unmanned aerial vehicle includes a transceiver operable to receive signals from the source of animal data and to send control signals to the source of animal data.

Abstract: An unmanned aerial vehicle-based data collection and distribution system includes a source of animal data that can be transmitted electronically. The source of animal data includes at least one sensor. The animal data is collected from at least one target individual. The system also includes an unmanned aerial vehicle that receives the animal data from the source of animal data as a first set of received animal data and a home station that receives the first set of received animal data. Characteristically, the unmanned aerial vehicle includes a transceiver operable to receive signals from the source of animal data and to send control signals to the source of animal data.

Abstract: A method of computing a hear rate compensates for noise in data transmission that can lead to false R-peak detection or missed R-peak detection. The method computes an updated heart rate based on a window of approximately ten seconds of digitized ECG readings broadcast from a sensor. A new value is calculated approximately every second such that the window of ECG readings overlaps considerably between consecutive calculations. The method compensates for noisy data by discarding heart rate samples that differ by more than a threshold amount from a previously calculated heart rate value. The threshold is adjusted based on a standard deviation of differences between heart rate samples.