Vitality meter for health monitoring of anonymous animals in livestock groups

• US 20100198024A1
• Filed: 02/03/2009
• Published: 08/05/2010
• Est. Priority Date: 02/03/2009
• Status: Abandoned Application

• Current Assignee: Faunus Ltd.
• Original Assignee: Faunus Ltd.
• Inventors: Elazari-Volcani, Ron, Yanai, Ehud
• Application Number:
  US12/320,720
• Publication Number:
  US 20100198024A1
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: A01K 29/005 Monitoring or measuring activity, e.g. detecting heat or mating
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

Vitality sensing electronic system and method for monitoring the health of a livestock group, comprising: a vitality sensing unit attached to a sample of individual sentinels in a group of livestock, the unit configured to measure a plurality of physiological and behavioral parameters indicative of the sentinel'"'"'s health condition, location means configured to locate each of the individual sentinels and a computing and storage unit communicating with the vitality sensing unit adapted to determine the group'"'"'s health based on the sample of measured parameters.

Claims

1. A vitality sensing electronic system for monitoring the health of a livestock group, comprising:

a vitality sensing unit attached to a sample of individual sentinels in a group of livestock, the unit configured to measure a plurality of physiological and behavioral parameters indicative of the sentinel'"'"'s health condition;

location means configured to locate each of said individual sentinels; and

a computing and storage unit communicating with said vitality sensing unit adapted to determine the group'"'"'s health based on said sample of measured parameters.

2. The vitality sensing unit according to claim 1, comprising processing means, communication means, a power source and a plurality of sensing devices selected from the group consisting of:

acceleration measuring means, pulse rate sensing means and temperature measuring means.

3. The vitality sensing unit according to claim 1, wherein the measured parameters are selected from the group consisting of movement, pulse rate, temperature, rumination, eating and breathing rate.

4. The vitality sensing unit according to claim 3, wherein the measured movement parameters comprise differentiation between states selected from the group consisting of walking, eating, drinking, standing and sitting.

5. The vitality sensing unit according to claim 2, wherein the measured parameters are temporarily stored in the unit'"'"'s processing means and transmitted by the unit'"'"'s communication means to the computing and storage unit according to a scheduled timing.

6. The vitality sensing system according to claim 2, wherein the measured parameters are transmitted by the unit'"'"'s communication means to the computing and storage unit continuously.

7. The vitality sensing unit according to claim 1, comprising a unique identification code.

8. The vitality sensing unit according to claim 7, wherein the unique identification code is programmed into the unit.

9. The vitality sensing unit according to claim 1, wherein the location means are visual markings attached to one of the unit and the sentinel'"'"'s body.

10. The vitality sensing unit according to claim 9, wherein the visual marking comprises color combination patches.

11. The vitality sensing unit according to claim 1, wherein the location means comprise audio or visual electro-magnetic marking.

12. The vitality sensing unit according to claim 1, wherein the location means comprise local positioning means implementing GPS technology.

13. The vitality sensing system according to claim 1, wherein the computing and storage unit comprises personal sentinel files storing vitality measurements for each sentinel, aggregate sentinel files storing vitality measurements of all sentinels, means for analyzing and comparing current and past measurements recorded in each said personal sentinel files and said aggregate sentinels files;

and means for analyzing said comparison results.

14. The vitality sensing system according to claim 13, additionally comprising alert means, said alert means activated upon deviation of the analyzed results from predefined thresholds.

15. The vitality sensing system according to claim 13, wherein the means for analyzing said aggregate sentinels measurements are selected from the group consisting of means for calculating average, median, standard deviation and relative position of the sentinels.

16. The vitality sensing system according to claim 1, wherein the location means are triggered by the computing and analyzing system upon deviation of the analyzed results from predefined thresholds.

17. The vitality sensing system according to claim 1, wherein said livestock comprise one of poultry, cattle, sheep and goats.

18. A computerized method of monitoring health of a group of livestock, comprising the steps of:

attaching a vitality sensing unit to a sample of individual sentinels in the group of livestock, the unit configured to measure a plurality of physiological and behavioral parameters indicative of the sentinel'"'"'s health condition;

attaching locating means to one of said vitality sensing unit and said sentinel'"'"'s body for each said sentinels,

the vitality sensing unit comprising processing means, communication means, a power source and a plurality of sensing devices selected from the group consisting of;

acceleration measuring means, pulse rate sensing means and temperature measuring means;

measuring vitality parameters; and

transmitting said measured parameters to a computing and storage and computing device adapted to determine the group'"'"'s health based on said sample of measured parameters.

19. The method according to claim 18, wherein the measured parameters are selected from the group consisting of movement, pulse rate, temperature, ruminating, eating and breathing rate.

20. The method according to claim 19, wherein the measured movement parameters comprise differentiation between states selected from the group consisting of walking, eating, drinking, standing and sitting.

21. The method according to claim 18, additionally comprising temporarily storing the measured parameters in the unit'"'"'s processing means and transmitting said measured parameters to said storage and computing device according to a scheduled timing.

22. The method according to claim 18, additionally comprising assigning a unique identification code to each vitality sensing unit.

23. The method according to claim 22, wherein the unique identification code is programmed into the unit.

24. The method according to claim 18, wherein the location means are visual marking.

25. The method according to claim 24, wherein the visual marking comprises color combination patches.

26. The method according to claim 18, wherein the location means comprise audio or visual electro-magnetic marking.

27. The method according to claim 18, wherein the location means comprise local positioning means implementing GPS technology.

28. The method according to claim 18, additionally comprising the steps of:

logging each sentinel'"'"'s measurements in an individual sentinel file stored in the computing and storage unit;

analyzing and comparing current and past measurements; and

analyzing said comparison results.

29. The method according to claim 28, additionally comprising issuing an alert upon deviation of the analyzed sentinel results from predefined thresholds.

30. The method according to claim 18, additionally comprising the steps of:

logging aggregate sentinels measurements in a group sentinels file stored in the computing and storage unit;

analyzing and comparing current and past measurements; and

analyzing said comparison results.

31. The method according to claim 30, additionally comprising issuing an alert upon deviation of the analyzed aggregate sentinel results from predefined thresholds.

32. The method according to claim 31, wherein the step of analyzing comprises calculations selected from the group consisting of means for calculating average, median, standard deviation and relative position of the sentinels.

33. The method according to claim 18, wherein said livestock comprise one of poultry, cattle, sheep and goats.