Patent ID: 9629340
Date: 2017-04-25
CPC Classifications: A01K,A61B,A61D,G06N,G08B,G16H

Claim:
1. A method for mobile point-of-care animal surveillance and distress monitoring comprising: detecting one or more biometric parameter of the animal, wherein the one or more biometric parameter comprises one or more of a respiratory rate, heart rate, and temperature of the animal; detecting one or more behavioral parameter of the animal, wherein detecting the one or more behavioral parameters comprises monitoring data from one or more of an accelerometer, gyroscope, magnetometer, and barometric pressure sensor; preprocessing the one or more biometric or behavioral parameter to remove noise resulting from movement of the animal; transforming the one or more detected biometric and behavioral parameter into the frequency domain to obtain one or more frequency coefficient; multiplying the one or more frequency coefficient across a weighted matrix to generate a matrix characterizing components of the one or more detected biometric and behavioral parameter; determining, using a one-class classifier, occurrence of a novel event based on comparison of the components of the one or more detected biometric and behavioral parameter to a range of predefined personalized historical parameter values; notifying one or more remote caretakers of possible distress in the animal based on one or more of the components of the one or more detected biometric and behavioral parameter exceeding the range of predefined personalized historical parameter values.