Method and apparatus for measuring animal's condition by acquiring and analyzing its biological signals
Patent 7282028 Issued on October 16, 2007. Estimated Expiration Date: 
January 10, 2023. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.
January 10, 2023. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.Patent ReferencesAnimal training apparatus Method and apparatus for remote conditioned cue control of animal training stimulus Animal monitoring system Driver, vehicle and traffic information system Personalized driver stress prediction using geographical databases Patent #: 6599243 InventorsAssigneeApplicationNo. 10339461 filed on 01/10/2003US Classes:600/300, DIAGNOSTIC TESTING128/920, COMPUTER ASSISTED MEDICAL DIAGNOSTICS340/870.16, Condition responsive340/439Operation efficiency (e.g., engine performance, driver habits)ExaminersPrimary: Hindenberg, Max F.Assistant: Astorino, Michael Attorney, Agent or FirmForeign Patent References
International ClassA61B 5/00AbstractA method and apparatus for measuring the biological condition of an animal by acquiring and analyzing its biological signals are provided. The biological signals from skin temperature, a photoplenthysmogram (PPG), an electrocardiogram (ECG), electrodermal activity (EDA), an electromyogram (EMG), and an electrogastrogram (EGG) are detected using a biological signal detection unit which is attached to the animal's skin. Feature vectors, including the mean heart rate of the photoplenthysmogram and its standard deviation, the very low frequency, low frequency, and high frequency components of heart rate variability, the frequency and mean amplitude of skin conductance responses, and the mean and maximum skin temperatures, are extracted from the detected biological signals. The biological condition, including needs and emotions, of the animal as to whether or not the animal feels hunger or fear, how much the animal is stressed, or whether or not the animal needs to have a bowel movement, is determined using a pattern classifier which has learned reference vectors, which reflect the behaviors, needs, and emotions of different kinds of animals for various biological conditions and are stored in a predetermined database. Therefore, the biological condition of the animal can be determined through instrumental communication, not through human languages, and the breeding of pets can be efficiently managed.Other References
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