ANIMAL INSTRUMENTATION

• US 20070130893A1
• Filed: 11/22/2006
• Published: 06/14/2007
• Est. Priority Date: 11/23/2005
• Status: Abandoned Application

• Current Assignee: Equusys Incorporated
• Original Assignee: Equusys Incorporated
• Inventors: Davies, Michael
• Application Number:
  US11/562,630
• Publication Number:
  US 20070130893A1
• Time in Patent Office: Days
• US Class Current: 54/1
• CPC Class Codes: A01K 11/008 incorporating GPS
• CPC Class Codes: A01K 15/027 Exercising equipment, e.g. tread mills, carousels equipment for racing or riding sports events A63K
• 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 2560/0271 using a remote monitoring unit
• CPC Class Codes: A61B 5/0008 Temperature signals
• CPC Class Codes: A61B 5/002 Monitoring the patient using a local or closed circuit, e.g. in a room or building A61B5/0017 takes precedence
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/1036 Measuring load distribution, e.g. podologic studies
• CPC Class Codes: A61B 5/1038 Measuring plantar pressure during gait
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/1114 Tracking parts of the body
• CPC Class Codes: A61B 5/112 Gait analysis
• CPC Class Codes: A61B 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• CPC Class Codes: A61B 5/117 Identification of persons methods or arrangements for recognising patterns, e.g. fingerprints, G06F18/00, G06V40/00; identification of persons by analysing their voice or speech G10L17/00
• CPC Class Codes: A61B 5/145 Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissuemeasuring of blood pressure or blood flow A61B5/02; non-radiation detecting or locating of foreign bodies in blood A61B5/06
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/6823 Trunk, e.g., chest, back, abdomen, hip
• CPC Class Codes: A61B 5/6829 : Foot or ankle

Abstract

An approach to instrumentation and telemetry of physiological and physical parameters of an animal and its environment has particular application to horses. This approach improves the effectiveness of one or more of evaluation, diagnosis, care conditioning or monitoring of animals because it does not require use of restrictive equipment such as force plates or treadmills, and it can provide objective and quantitative data that is complete, accurate, precise and reproducible, and this data can be obtained under real-world conditions, for either or both of more or less real-time or continuous processing of data to perform the monitoring or diagnosis. That is, in such an approach objective and quantitative data can be collected under real-world conditions and this data can be processed and the information can be displayed in a form that is familiar to experts in real-time locally, or can be stored for subsequent retrieval or transmitted for remote review.

Claims

1. A method for monitoring a characteristic of motion of an animal comprising:

attaching multiple sensors to the animal, said sensors including sensors for measuring motion-related parameters associated with limbs or other parts of the animal;

receiving sensor data from the sensors;

processing the data received from the sensors, including identifying the characteristics of the motion of the animal based on said data; and

presenting a graphical representation of the characteristics to a user in a form associated with a view of the animal.

2. The method of claim 1 wherein presenting the graphical representation includes presenting at least one of:

a link-segment diagram;

a stick-model; and

rendering of at least part of the animal.

3. The method of claim 1 further comprising presenting quantitative information associated with the characteristics in at least one of a table and a graph form.

4. The method of claim 1 wherein presenting the graphical representation includes presenting information for determining a physical condition of the animal.

5. The method of claim 4 wherein the physical condition includes at least one of an injury, an injury, a degree of conditioning, and a degree of rehabilitation.

6. The method of claim 1 further comprising:

accepting an input form the user associated with a subsequent step for diagnosing a physical condition of the animal.

7. The method of claim 6 wherein accepting the input form the user includes accepting an input associated with at least one of a decision tree and a differential diagnosis approach.

8. The method of claim 1 further comprising automatically configuring a processing system according to at least one of:

available sensors, locations of sensors, and a monitoring application.

9. The method of claim 8 wherein automatically configuring the system includes selecting an algorithm for processing the data.

10. The method of claim 8 wherein automatically configuring the system includes selecting a format for the graphical representation.

11. The method of claim 1 further comprising automatically calibrating a processing system to compensate for a factor related to at least one of an orientation, a gain, a rate, a racking, a drift, and an offset of a sensor.

12. The method of claim 1 wherein identifying the characteristic of the motion includes identifying a quality of gait of the animal.

13. The method of claim 12 wherein the quality of the gait includes a physical parameter of the gait.

14. The method of claim 12 wherein the quality of gait includes a lameness exhibited in the gait of the animal.

15. The method of claim 1 wherein processing the received sensor data further comprises identifying an injury condition based on the received signals.

16. The method of claim 15 wherein the injury condition includes at least one of an actual injury and a predisposition to an injury.

17. The method of claim 1 wherein the sensors include a sensor from the group consisting of:

an inertial position, motion, rotation or acceleration sensor;

a strain, force or pressure sensor;

a muscle, nerve or connective tissue activity sensor;

a respiratory sensor;

a cardiac sensor;

a blood oxygen level, blood pressure or blood sugar sensor;

a temperature sensor; and

an audio or video sensor.

18. The method of claim 1 further comprising collecting the sensor data during a normal activity of the animal.

19. The method of claim 18 wherein collecting the data during the normal activity includes collecting said data during an athletic event.

20. The method of claim 18 wherein the processing of the received sensor data is performed during the normal activity.

21. The method of claim 1 wherein processing the received sensor data includes processing said data in a real time mode.

22. The method of claim 1 wherein processing the received sensor data includes processing said data in a batch mode.

23. The method of claim 1 wherein attaching the one or more sensors to the animal comprises removably attaching said sensors.

24. A system for monitoring an animal comprising:

a sensor subsystem fixed to the animal, including at least one sensor for measuring a physical parameter associated with at least one limb or the animal;

a computing subsystem for processing and display of data provided by the sensor subsystem;

a communication subsystem coupling the sensor subsystem and the computing subsystem for passing sensor data from the sensor subsystem to the computing subsystem; and

a presentation subsystem coupled to the computing subsystem for presenting a graphical representation of the characteristics to a user in a form associated with a view of the animal.

25. A system for monitoring an animal comprising:

a communication hub for attaching to an animal, said communication hub including a receiver for accepting sensor data from sensors attached to the animal and a transmitter for providing data based on the accepted sensor data; and

a plurality of sensors, each including a transmitter for providing sensor data to the hub; and

a calibration subsystem for automatically configuring the system according to at least one of;

available sensors, locations of sensors, and a monitoring application.