SYSTEM AND METHOD FOR MONITORING A HEALTH CONDITION OF AN ANIMAL

• US 20090187392A1
• Filed: 01/23/2008
• Published: 07/23/2009
• Est. Priority Date: 01/23/2008
• Status: Abandoned Application

• Current Assignee: TenxSys, Inc.
• Original Assignee: TenxSys, Inc.
• Inventors: King, Cathy Ann, Griebe, Brian Douglas, Simmons, Layne Ellen, Riskey, Frank
• Application Number:
  US12/018,546
• Publication Number:
  US 20090187392A1
• Time in Patent Office: Days
• US Class Current: 703/11
• CPC Class Codes: A01K 11/007 Boluses
• CPC Class Codes: A01K 11/008 incorporating GPS
• CPC Class Codes: A01K 29/005 Monitoring or measuring activity, e.g. detecting heat or mating
• CPC Class Codes: A61B 2503/40 Animals
• CPC Class Codes: A61B 2560/0219 of externally powered implanted units
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/073 Intestinal transmitters
• CPC Class Codes: A61B 5/08 Detecting, measuring or recording devices for evaluating the respiratory organs A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/1124 Determining motor skills
• CPC Class Codes: A61B 5/14539 for measuring pH
• CPC Class Codes: A61B 5/4238 stomach
• CPC Class Codes: A61D 17/002 for detecting period of heat of animals, i.e. for detecting oestrus for humans A61B10/0012
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/50 : for simulation or modelling of medical disorders

Abstract

An ingestible bolus may be disposed within the stomach of an animal. The bolus may comprise one or more sensors to monitor one or more internal and/or external animal characteristics. The bolus may comprise a data transmitter in wireless communication with a base station. The base station may receive messages from the bolus comprising one or more measured animal characteristics. The base station may comprise a process to monitor the animal and/or be in communication with a process to monitor the animal. The process may build an animal profile based upon the observed characteristics of the animal, the characteristics of other animals in a group associated with the animal, and/or characteristics associated with the breed and/or sex of the animal. Based on this profile, the process may detect a change in a health condition of the animal. Such heath conditions may include, but are not limited to, an estrus condition in the animal, off-feed condition, a nominal condition, the animal leaving an enclosure, or the like.

Claims

1. A method for detecting a health condition of an animal, comprising:

receiving a message from an animal monitoring device, the message comprising a measured animal characteristic;

comparing the measured animal characteristic to an animal characteristic model corresponding to an animal health condition;

calculating a probability that the animal has the health condition based upon the comparing; and

detecting the health condition if the probability is above a detection threshold.

2. The method of claim 1, wherein the animal monitoring device is an ingestible bolus comprising a sensor disposed therein.

3. The method of claim 2, further comprising updating a bolus setting responsive to the comparing.

4. The method of claim 2, wherein the animal is a ruminant animal, and wherein the ingestible bolus is disposed within a stomach of the animal.

5. The method of claim 2, wherein the sensor is an accelerometer.

6. The method of claim 5, wherein the accelerometer is a three-axis accelerometer and the measured animal characteristic is a derivative of a vector magnitude of animal acceleration.

7. The method of claim 6, wherein the measured animal characteristic is an animal stomach contraction measured by the accelerometer.

8. The method of claim 1, wherein detecting the health condition comprises determining whether the probability has been maintained above the detection threshold for a time threshold, and wherein the health condition is detected if the time threshold determining is positive.

9. The method of claim 1, wherein the message comprises a plurality of measured animal characteristics, and wherein calculating a probability that the animal has the health condition comprises combining a plurality of probabilities based on comparing each of the plurality of measured animal characteristics corresponds to one of a plurality of animal characteristic models associated with the animal health condition.

10. The method of claim 9, wherein the combining comprises applying a separately defined proportional weight to each of the plurality of probabilities.

11. The method of claim 1, wherein the animal characteristic model is common to a group of animals.

12. The method of claim 1, wherein the animal characteristic model is common to an animal breed.

13. The method of claim 1, wherein comparing the measured animal characteristic to an animal characteristic model associated with the health condition comprises making a first comparison of the measured animal characteristic to an animal-specific animal characteristic model and making a second comparison of the measured animal characteristic to an animal characteristic model common to a group of animals, and wherein calculating a probability based on the comparing comprises combining a probability based on the first comparison and a probability based on the second comparison.

14. The method of claim 13, wherein calculating comprises applying a first proportional weight to the probability based on the first comparison and a second proportional weight to the probability based on the second comparison.

15. The method of claim 1, wherein the animal characteristic model is a statistical model.

16. The method of claim 15, wherein the model is a normal distribution of the animal characteristic defined by a mean and a standard deviation.

17. The method of claim 1, wherein the health condition is one selected from the group consisting of a nominal condition, an off-feed condition, a colic condition, an out-of-enclosure condition, and an estrus condition.

18. A computer readable storage media comprising computer readable instructions to perform a method, the method comprising:

receiving an animal characteristics message from a sensor disposed within a stomach of a ruminant animal, the message comprising an animal characteristic measured by the sensor;

comparing the measured animal characteristic to a statistical animal characteristic model of an animal health-condition pattern;

calculating a probability that the animal has the health condition based upon the comparing; and

detecting the health condition if the probability is above a detection threshold for a time threshold.

19. The computer readable storage media of claim 18, wherein the method further comprises alerting an animal manager of the detected health condition if the probability is above the detection threshold for the time threshold.

20. The computer readable storage media of claim 18, wherein the method further comprises modifying a setting of the sensor based on the comparing.

21. The computer readable storage media of claim 18, wherein the animal characteristics message comprises a plurality of measured animal characteristics, and wherein the method further comprises,

comparing each of the plurality of measured animal characteristics to a statistical animal characteristic model corresponding to the animal health-condition, and

calculating the probability that the animal has the health condition by combining each of the probabilities based on each of the comparisons.

22. The computer readable storage media of claim 18, wherein comparing the measured animal characteristic to a statistical animal characteristic model associated with the health-condition pattern comprises:

performing a first comparison between the measured animal characteristic and a first statistical animal characteristic model common to a group of animals,

performing a second comparison between the measured animal characteristic and a second statistical model common to an animal breed, and

wherein the probability that the animal has the health condition is based on a combination of the first comparison and the second comparison.

23. A method for detecting a health condition of an animal, the method comprising:

receiving a message from a animal monitoring device disposed within a stomach of a ruminant animal, the message comprising an animal characteristic measured by a sensor disposed within the animal monitoring device;

comparing the measured animal characteristic to a first statistical model associated with a health condition, wherein the first statistical model is common to a group of animals;

comparing the measured animal characteristic to a second statistical model associated with the health condition, wherein the second statistical model is common to an animal breed;

calculating a heath-condition probability that the animal has the health condition based upon the first comparing and the second comparing, wherein the calculating comprises combining a first probability based on the first comparing with a second probability based on the second comparing; and

detecting the health condition if the health-condition probability is above a detection threshold.

24. A system for monitoring a health condition of an animal, comprising:

an ingestible bolus disposed within a stomach of a ruminant animal, the bolus comprising a sensor, a power source, and a wireless communication module;

a base station in wireless communication with the ingestible bolus; and

a computing system communicatively coupled to the base station, the computer system comprising;

a communication interface configured to receive an animal characteristics message comprising a measured animal characteristic from the bolus,

a data storage module to store an animal information data structure associated with the animal,

a heath-condition monitor configured to compare the measured animal characteristic to a statistical model of the characteristic, wherein the statistical model is indicative of an animal health condition, and wherein the health-condition monitor is configured to calculate a probability that the animal has a health condition based on the comparison, and wherein the health-condition monitor is configured to detect the health condition if the probability is above a detection threshold for a threshold time period.

25. The system of claim 24, wherein the computing system is communicatively coupled to a communication network, the computing system further comprising an alerting module to issue and alert to an animal manager using the communication network responsive to detecting the health condition.