Patent classifications
A61D17/008
MICRO-DEVICE AND SYSTEM FOR DETERMINING PHYSIOLOGICAL CONDITION OF CERVICAL TISSUE
A micro-device and system for monitoring cervical tissue includes micro-circuitry for simulating electrochemical impedance spectroscopy and a system for monitoring the physiological condition of the cervical tissue.
METHOD AND APPARATUS FOR MONITORING ANIMALS
A method of operating a smartphone for monitoring an animal, the method comprising the steps of: monitoring a position and orientation of the smartphone; determining that a detection event indicative of the animal lying down from a standing position has occurred corresponding to a change in position and/or a change in orientation satisfying a predetermined criteria; and in response, communicating, at least in part via a public mobile telecommunications communication network, to one or more receiver devices a message indicative of identification of a detection event, and corresponding device and system.
System, device and method for observing piglet birth
A system and a method for observing piglet birth is provided. The method comprises detecting at a first detection zone, infrared electromagnetic radiation from a first radiation zone including at least a first area of a first delivery zone of a first farrowing sow or gilt, identifying a first event indicative variation in the detected infrared electromagnetic radiation, the first event indicative variation being indicative of a piglet birth, and determining a first piglet birth event by means of the identification of the first event indicative variation.
PHYSIOLOGICAL CONDITION DETERMINATION SYSTEM
A physiological condition determination system and method can include: attaching a tag to animal tissue; emitting light into the animal tissue; detecting a first optical signal; extracting a first measurement of peripheral capillary oxygen saturation from the first optical signal; qualifying the first measurement of peripheral capillary oxygen saturation as a baseline; detecting a second optical signal with the optical sensor; extracting a second measurement of peripheral capillary oxygen saturation from the second optical signal; qualifying the second measurement of peripheral capillary oxygen saturation; storing the second measurement of peripheral capillary oxygen saturation as a tag feature set; storing a history; determining animal distress based on the difference between the second measurement of peripheral capillary oxygen saturation and the baseline; and sending an instruction to the tag.
METHOD OF MANAGING DISEASE, AND APPARATUSES OPERATING THE SAME
A disease management method and apparatuses performing the disease management method are disclosed. The disease management method may include receiving bioinformation of a cow from a biosensor capsule provided in a stomach of the cow, determining a health state of the cow by analyzing the received bioinformation, and transmitting information associated with the determined health state to a user who manages the cow, in which the health state may include at least one of a breeding-related state associated with estrus and delivery of the cow, a disease state of the cow, a methane gas generation state of the cow, or a rumen activity state of the cow.
METHOD, APPARATUS FOR IMAGE ANALYZATION, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
A method performed by a computer for image analyzation includes: receiving, by a processor of the computer, an image captured by an imaging device; specifying, by the processor of the computer, first and second areas in the image; detecting, by the processor of the computer, a target object from the image in accordance with a certain pattern indicating a range of color saturation in an analysis of a color of the target object; and extending, by the processor of the computer, the range of color saturation in processing of the detecting the target object, when luminance of the first area in the image is lower than a first threshold and luminance of the second area in the image is equal to or higher than a second threshold.
METHOD AND DEVICE TO AUTOMATICALLY DETECT CALVING
The invention relates to a method to automatically predict a calving moment of a cow, comprising: recording, by a three-dimensional camera system, at least one three-dimensional image of the cow, processing, by a processing device, the at least one image of the cow, wherein processing of the image comprises determining a parameter indicative of the calving moment, and predicting a calving moment of the cow on the basis of the parameter.
Data network for monitoring animals
The invention relates to a data network for automatically monitoring voluntary behaviors of individual animals of an animal herd. The individual animals of the animal herd each have a node of the data network. A further node is attached at a location which an animal preferably approaches in the course of a behavior to be monitored. In the event that the animal approaches the node, communication occurs between the nodes, in which communication one node is identified by the other node and a central data-processing system is informed that the two nodes have come into contact. The communication between the two nodes occurs by means of the transfer of electrical signals in a closed electrical alternating-current circuit, which also passes, among other things, through the body of the animal as an electrical conductor.
SYSTEM, DEVICE AND METHOD FOR OBSERVING PIGLET BIRTH
A system and a method for observing piglet birth is provided. The method comprises detecting at a first detection zone, infrared electromagnetic radiation from a first radiation zone including at least a first area of a first delivery zone of a first farrowing sow or gilt, identifying a first event indicative variation in the detected infrared electromagnetic radiation, the first event indicative variation being indicative of a piglet birth, and determining a first piglet birth event by means of the identification of the first event indicative variation.
Mobile animal surveillance and distress monitoring
A method for remote animal surveillance and distress monitoring includes detecting biometric and behavioral parameters of the animal, identifying novel events based on comparison of detected parameters to predefined parameter values and qualifications; determining whether a composite parameter value exceeds a predefined composite threshold value indicative of possible distress in the animal; and notifying remote caretakers of possible distress in the animal based on the composite value exceeding the predefined composite threshold value.