LAMENESS EVALUATION SYSTEMS AND METHODS

• US 20080021352A1
• Filed: 07/20/2007
• Published: 01/24/2008
• Est. Priority Date: 07/21/2006
• Status: Active Grant

• Current Assignee: Curators of the University of Missouri (University of Missouri)
• Original Assignee: Curators of the University of Missouri (University of Missouri)
• Inventors: Pai, Perngjin Frank, Keegan, Kevin G.
• Granted Patent: US 7,601,126 B2
• Time in Patent Office: Days
• US Class Current: 600/595
• 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 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 5/1038 Measuring plantar pressure during gait
• CPC Class Codes: A61B 5/112 Gait analysis
• CPC Class Codes: A61B 5/1121 Determining geometric values, e.g. centre of rotation or angular range of movement
• CPC Class Codes: A61B 5/1122 of movement trajectories

Abstract

A wireless sensor-based lameness evaluation system detects and analyzes patterns of vertical head and pelvic motion of a four-legged animal in correlation with at least one limb movement. The system includes a plurality of motion sensors attached to the head, pelvis (or along the center of the back), and at least one limb of the animal. A processing system in receives the motion data and processes the motion data to detect and quantify forelimb and/or hindlimb lameness in the animal.

Claims

1. A system for evaluating lameness in a four-legged animal comprising:

a plurality of motion sensors configured to generate a corresponding plurality of signals comprising motion data representative of a head motion, a pelvis motion, and at least one limb motion during a stride of the animal; and

a processing system configured to receive the plurality of signals during the stride via wireless communication and to receive input data, the processing system comprising an evaluation application comprising;

a data-acquisition module configured to retrieve motion data from the received plurality of signals;

a data-decomposition module configured to generate a simulated head movement pattern and a simulated pelvis movement pattern for the stride;

a curve-modification module configured to modify and smooth the simulated head and pelvis movement patterns based on the input data;

a position-detection module configured to detect a maximum head position, a minimum head position, a maximum pelvis position, and a minimum pelvis position during the stride based on the modified simulated head and pelvis movement pattern; and

a phase-shift calculation module configured to identify a limb affected with lameness based on a comparison of the detected maximum head position, the detected minimum head position, the detected maximum pelvis position, and the detected minimum pelvis position with at least one reference pattern, the at least one lameness reference pattern indicating a peak time of lameness.

2. The system of claim 1 wherein the plurality of sensors comprise:

a head sensor configured to generate a first signal comprising first motion data representative of the head motion;

a pelvis sensor configured to generate a second signal comprising second motion data representative of the pelvis motion; and

a forelimb sensor configured to generate a third signal comprising third motion data representative of a forelimb motion.

3. The system of claim 2 wherein the plurality of sensors further comprise a hindlimb sensor configured to generate a fourth signal comprising fourth motion data representative of a hindlimb motion.

4. The system of claim 1 further comprising a reporting module configured to generate a report comprising a summary of the affected limb, a type of lameness, and a severity of lameness.

5. The system of claim 1 wherein the data-acquisition module is further configured to retrieve the motion data at a predefined interval.

6. The system of claim 5 wherein the predefined interval comprises a user defined time period.

7. The system of claim 1 wherein head motion data and pelvis motion data correspond to acceleration data, wherein limb motion data corresponds to gyroscopic data, and wherein the data-decomposition module is configured to generate the simulated vertical head and pelvis movement patterns by:

double integrating the acceleration data corresponding to the head motion and the pelvis motion;

calculating a first stride rate component corresponding to the head motion as a function of the gyroscopic data for a forelimb motion;

calculating a second stride rate component corresponding to the pelvis motion as a function of the gyroscopic data for a hindlimb motion; and

employing a curve-fitting algorithm to generate the simulated vertical head movement pattern and the simulated pelvis movement pattern as a function of the double integrated acceleration data, the first stride rate component, and the second stride rate component.

8. The system of claim 1 wherein the input data identifies at least one motion data point deemed erroneous by the user, and wherein the curve-modification module eliminates the identified at least one motion data point to smooth the simulated vertical head and pelvis movement patterns.

9. The system of claim 1 wherein the curve-modification module is further configured to automatically identify at least one erroneous motion data point and to automatically eliminate the at least one erroneous motion data point to smooth the simulated vertical head and pelvis movement patterns.

10. The system of claim 1 wherein the data-decomposition module is further configured to:

determine a first harmonic component comprising a first frequency, the first harmonic corresponding to a unilateral lameness contribution to a vertical movement of the at least one limb motion;

determine a second harmonic component with a second frequency, the second harmonic corresponding to a normal, biphasic, vertical movement of the at least one limb motion; and

determine a low-frequency transient component corresponding to an extraneous vertical head movement or to an extraneous pelvis movement;

wherein the data-decomposition module is configured to generate the simulated head and pelvis movement patterns based on the determined first harmonic, the determined second harmonic component, and the determined low-frequency transient component.

11. The system of claim 10 wherein the phase-shift calculation module is further configured to:

calculate a first effective amplitude of the first harmonic component and to calculate a second effective amplitude of the second harmonic component; and

determine a severity of lameness in the identified limb as a function of a ratio of the first effective amplitude to the second effective amplitude.

12. The system of claim 10 wherein the phase-shift calculation module is further configured to determine a phase-shift between the first harmonic component and the second harmonic component and to determine a type of lameness based on the determined phase-shift.

13. The system of claim 1 wherein the at least one lameness reference pattern comprises four vertical head movement reference patterns with forelimb lameness and three vertical pelvis movement reference patterns with hindlimb lameness.

14. The system of claim 13 wherein the four vertical head movement reference patterns comprise:

a first vertical head pattern depicting less downward movement of a head of the animal during a stance phase of an affected forelimb and less upward movement of the head after the stance phase of the affected forelimb, the first vertical head pattern corresponding to a peak-time-of-lameness occurring at impact at a beginning of the stance phase of the stride of the affected forelimb;

a second vertical head pattern depicting less downward movement of the head during the stance phase of the affected forelimb, the second vertical head pattern corresponding to the peak-time-of-lameness occurring at mid-stance when the affected forelimb is perpendicular to a ground level and vertical ground reaction forces on the affected forelimb are maximal;

a third vertical head position pattern depicting less downward movement of the head during the stance phase of the affected forelimb and more upward movement of the head after the stance phase of the affected forelimb, the third vertical head position pattern corresponding to the peak-time-of-lameness occurring during a second half of the stance phase of the forelimb; and

a fourth vertical head position pattern only depicting a greater upward movement of the head after the stance phase of the affected forelimb, the fourth vertical head position pattern corresponding to the peak-time-of-lameness occurring during a push off.

15. The system of claim 13 wherein the three vertical pelvis movement reference patterns for hindlimb lameness comprise:

a first vertical pelvis pattern depicting less downward movement of a pelvis of the four-legged animal during a stance phase of an affected hindlimb, the first vertical pelvis pattern corresponding to a peak-time-of-lameness occurring during a deceleratory phase of the stance phase of the affected hindlimb;

a second vertical pelvis pattern depicting less upward movement of the pelvis after the stance phase of the affected hindlimb, the second vertical pelvis pattern corresponding to the peak-time-of-lameness occurring during an acceleratory phase of the stance phase of the of the affected hindlimb; and

a third vertical pelvis pattern depicting less downward movement of the pelvis during the stance phase of the affected hindlimb and less upward movement of the pelvis after the stance phase of the affected hindlimb, the third vertical pelvis pattern corresponding to the peak-time-of lameness occurring when lameness occurs throughout the stance phase of the affected hindlimb.

16. The system of claim 1 wherein the at least one limb motion comprises at least one foot motion.

17. An evaluation system for evaluating lameness in an animal and operable with at least one processor, the evaluation system configured to receive a plurality of signals comprising motion data representative of a head motion, a pelvis motion, and at least one limb motion during a stride of the animal, the evaluation system comprising:

a data-acquisition module configured to collect motion data from the received plurality of signals;

a data-decomposition module configured to generate simulated head and pelvis movement patterns for the stride;

a curve-modification module configured to receive input data and to modify and smooth the simulated head and pelvis movement patterns based on input data;

a position-detection module configured to detect a maximum head position, a minimum head position, a maximum pelvis position, and a minimum pelvis position during the stride based on the modified simulated head and pelvis movement patterns; and

a phase-shift calculation module configured to identify a limb affected with lameness based on a comparison of the detected maximum head position, the detected minimum head position, the detected maximum pelvis position, and the detected minimum pelvis position with at least one lameness reference pattern, the at least one lameness pattern indicating a peak time of lameness.

18. The system of claim 17 wherein the evaluation system comprises a plurality of sensors configured to generate the plurality of signals comprising:

a head sensor configured to generate a first signal comprising first motion data representative of the head motion;

a pelvis sensor configured to generate a second signal comprising second motion data representative of the pelvis motion; and

a forelimb sensor configured to generate a third signal comprising third motion data representative of a forelimb motion.

19. The system of claim 18 wherein the plurality of sensors further comprise a hindlimb sensor configured to generate a fourth signal comprising fourth motion data representative of a hindlimb motion.

20. The system of claim 17 further comprising a reporting module configured to generate output data comprising a summary of the affected limb, a type of lameness, and a severity of lameness.

21. The system of claim 17 wherein the data-acquisition module collects the motion data at a predefined interval.

22. The system of claim 21 wherein the predefined interval comprises a user defined time period.

23. The system of claim 17 wherein head motion data and pelvis motion data correspond to acceleration data, wherein limb motion data corresponds to gyroscopic data, and wherein the data-decomposition module is configured to generate the simulated vertical head and pelvis movement patterns by:

double integrating the acceleration data corresponding to the head motion and the pelvis motion;

calculating a first stride rate component corresponding to the head motion as a function of the gyroscopic data for a forefoot motion;

calculating a second stride rate component corresponding to the pelvis motion as a function of the gyroscopic data for a hind foot motion; and

employing a curve-fitting algorithm to generate the simulated vertical head movement pattern and the simulated pelvis movement pattern as a function of the double integrated acceleration data, the first stride rate component, and the second stride rate component.

24. The system of claim 17 wherein the input data identifies at least one missing motion data point or at least one erroneous motion data point, and wherein the curve-modification module is configured to add the identified at least one missing motion data point and to eliminate the identified at least one erroneous motion data point from the simulated vertical head and pelvis movement patterns.

25. The system of claim 17 wherein:

the data-decomposition module is configured to;

determine a first harmonic component comprising a first frequency from the motion data, the first harmonic corresponding to a unilateral lameness contribution to a vertical movement of the head motion;

determine a second harmonic component with a second frequency from the motion data, the second harmonic corresponding to a normal, biphasic, vertical movement of the head motion;

determine a low-frequency transient component corresponding to an extraneous vertical head movement or to an extraneous pelvis movement; and

generate the simulated head and pelvis movement patterns based on the determined first harmonic, the determined second harmonic, and the determined low frequency transient component; and

the phase-shift calculation module is further configured to;

calculate a first effective amplitude of the first harmonic component and to calculate a second effective amplitude of the second harmonic component, and

determine a severity of lameness in the identified limb as a function a ratio of the first effective amplitude to the second effective amplitude.

26. The system of claim 25 wherein the phase-shift calculation module is further configured to determine a phase-shift between the first harmonic component and the second harmonic component and to determine a type of lameness based on the determined phase-shift.

27. The system of claim 17 wherein the at least one lameness reference pattern comprises four vertical head movement reference patterns with forelimb lameness and three vertical pelvis movement reference patterns with hindlimb lameness.

28. The system of claim 27 wherein the four vertical head movement reference patterns comprise:

a first vertical head pattern depicting less downward movement of a head of the four-legged animal during a stance phase of an affected forelimb and less upward movement of the head after the stance phase of the affected forelimb, the first vertical head pattern corresponding to a peak-time-of-lameness occurring at impact at a beginning of the stance phase of the stride of the affected forelimb;

a second vertical head pattern depicting less downward movement of the head during the stance phase of the affected forelimb, the second vertical head pattern corresponding to the peak-time-of-lameness occurring at a mid-stance when the affected forelimb is perpendicular to a ground level vertical ground reaction forces on the affected forelimb are maximal;

a third vertical head position pattern depicting less downward movement of the head during the stance phase of the affected forelimb and more upward movement of the head after the stance phase of the affected forelimb, the third vertical head position pattern corresponding to the peak-time-of-lameness occurring during a second half of the stance phase of the forelimb; and

a fourth vertical head position pattern depicting a greater upward movement of the head after the stance phase of the affected forelimb, the fourth vertical head position pattern corresponding to the peak-time-of-lameness occurring during a push off.

29. The system of claim 27 wherein the three vertical pelvis movement reference patterns for hindlimb lameness comprise:

a first vertical pelvis pattern depicting less downward movement of a pelvis of the four-legged animal during a stance phase of an affected hindlimb, the first vertical pelvis pattern corresponding to a peak-time-of-lameness occurring during a deceleratory phase of the stance phase of the affected hindlimb;

a second vertical pelvis pattern depicting less upward movement of the pelvis after the stance phase of the affected hindlimb, the second vertical pelvis pattern corresponding to the peak-time-of-lameness occurring during an acceleratory phase of the stance phase of the of the affected hindlimb; and

a third vertical pelvis pattern depicting less downward movement of the pelvis during the stance phase of the affected hindlimb and less upward movement of the pelvis after the stance phase of the affected hindlimb, the third vertical pelvis pattern corresponding to the peak-time-of lameness occurring when lameness occurs throughout the stance phase of the affected hindlimb.

30. A computerized method for evaluating lameness in a four-legged animal comprising:

generating a plurality of signals representative of a motion of a head, a pelvis, and at least one limb during a stride of the animal;

receiving the plurality of signals during the stride via wireless communication at a processing system;

collecting motion data from the received plurality of signals;

generating simulated head and pelvis movement patterns for the stride;

identifying at least one motion data point to add or to eliminate from the simulated head and pelvis movement patterns;

modifying the simulated head and pelvis movement patterns by eliminating identifying at least one motion data point;

detecting a maximum head position, a minimum head position, a maximum pelvis position, and a minimum pelvis position based on the modified simulated head and pelvis movement patterns; and

identifying a limb affected with lameness based on a comparison of the detected maximum head position, the detected minimum head position, the detected maximum pelvis position, and the detected minimum pelvis position with at least one lameness reference pattern, the at least one lameness pattern indicating a peak time of lameness.

31. The method of claim 30 wherein generating the plurality of signals comprises:

generating a first signal at a first sensor, the first signal comprising first motion data representative of the head motion;

generating a second signal at a second sensor, the second signal comprising second motion data representative of the pelvis motion; and

generating a third signal at a third sensor, the third signal comprising third motion data representative of a forelimb motion.

32. The method of claim 31 further comprising generating a fourth signal at a fourth sensor, the fourth signal comprising fourth motion data representative of a hindlimb motion.

33. The method of claim 30 further comprising generating output data comprising a summary identifying the affected limb, a type of lameness, and a severity of lameness.

34. The method of claim 30 wherein the processing further comprises collecting the motion data at a predefined interval.

35. The method of claim 34 wherein the predefined interval comprises a user defined time period.

36. The method of claim 30 wherein head motion data and pelvis motion data correspond to acceleration data, wherein limb motion data corresponds to gyroscopic data, and wherein generating simulated vertical head and pelvis movement patterns comprises:

double integrating the acceleration data corresponding to the head motion and the pelvis motion;

calculating a first stride rate component corresponding to the head motion as a function of the gyroscopic data for a forelimb motion;

calculating a second stride rate component corresponding to the pelvis motion as a function of the gyroscopic data for a hindlimb motion; and

employing a curve-fitting algorithm to generate the simulated vertical head movement pattern and the simulated pelvis movement pattern as a function of the double integrated acceleration data, the first stride rate component, and the second stride rate component.

37. The method of claim 30 wherein the input data is received from the user via a user interface.

38. The method of claim 30 further comprising:

determining a first harmonic component comprising a first frequency, the first harmonic corresponding to a unilateral lameness contribution to a vertical movement of the head motion;

determining a second harmonic component with a second frequency, the second harmonic corresponding to a normal, biphasic, vertical movement of the head motion;

determining a low-frequency transient component corresponding to an extraneous vertical head movement or to an extraneous pelvis movement; and

generating the simulated head and pelvis movement patterns as a function of the determined first harmonic, the determined second harmonic, and the determined low frequency transient component.

39. The method of claim 38 further comprising:

calculating a first effective amplitude of the first harmonic component and calculating a second effective amplitude of the second harmonic component; and

determining a severity of lameness in the identified limb as a function of a ratio of the first effective amplitude to the second effective amplitude.

40. The method of claim 38 further comprising:

calculating a phase-shift between the first harmonic component and the second harmonic component; and

determining a type of lameness based on the calculated phase-shift.

41. The method of claim 30 wherein the at least one lameness reference pattern comprises four vertical head movement reference patterns with forelimb lameness and three vertical pelvis movement reference patterns with hindlimb lameness.

42. The method of claim 41 wherein the four vertical head movement reference patterns comprise:

a first vertical head pattern depicting less downward movement of a head of the four-legged animal during a stance phase of an affected forelimb and less upward movement of the head after the stance phase of the affected forelimb, the first vertical head pattern corresponding to a peak-time-of-lameness occurring at impact at a beginning of the stance phase of the stride of the affected forelimb;

a second vertical head pattern depicting less downward movement of the head during the stance phase of the affected forelimb, the second vertical head pattern corresponding to the peak-time-of-lameness occurring at a mid-stance when the affected forelimb is perpendicular to a ground level and vertical ground reaction forces on the affected forelimb are maximal;

a third vertical head position pattern depicting less downward movement of the head during the stance phase of the affected forelimb and more upward movement of the head after the stance phase of the affected forelimb, the third vertical head position pattern corresponding to the peak-time-of-lameness occurring during the second half of the stance phase of the forelimb; and

a fourth vertical head position pattern only depicting a greater upward movement of the head after the stance phase of the affected forelimb, the fourth vertical head position pattern corresponding to the peak-time-of-lameness occurring during a push off.

43. The method of claim 41 wherein the three vertical pelvis movement reference patterns for hindlimb lameness comprise:

a first vertical pelvis pattern depicting less downward movement of a pelvis of the four-legged animal during a stance phase of an affected hindlimb, the first vertical pelvis pattern corresponding to a peak-time-of-lameness occurring during a deceleratory phase of the stance phase of the affected hindlimb;

a second vertical pelvis pattern depicting less upward movement of the pelvis after the stance phase of the affected hindlimb, the second vertical pelvis pattern corresponding to the peak-time-of-lameness occurring during an acceleratory phase of the stance phase of the of the affected hindlimb; and

a third vertical pelvis pattern depicting less downward movement of the pelvis during the stance phase of the affected hindlimb and less upward movement of the pelvis after the stance phase of the affected hindlimb, the third vertical pelvis pattern corresponding to the peak-time-of lameness occurring when lameness occurs throughout the stance phase of the affected hindlimb.

44. The method of claim 30 wherein the at least one limb comprises at least one foot.

45. A computerized method for evaluating lameness in a four-legged animal comprising:

receiving motion data representing a plurality of strides of the animal from a plurality of motion sensors attached to a head, a pelvis, and at least one limb of animal;

processing the received motion data to identify at least two harmonic components and at least one transient component;

generating simulated vertical head and vertical pelvis movement patterns based on the identified two harmonics and the at least one transient component data;

correlating a vertical head movement and a vertical pelvis movement with a vertical forelimb movement to identify an affected limb; and

calculating a phase shift between the at least two harmonic components to detect a type of lameness of the affected limb.

46. The method of claim 45 wherein the at least two harmonic components comprise:

a first harmonic component comprising a first frequency, the first harmonic corresponding to a unilateral lameness contribution to a vertical movement of the head motion; and

a second harmonic component with a second frequency, the second harmonic corresponding to a normal, biphasic, vertical movement of the head motion;

the method further comprising;

generating the simulated head and pelvis movement patterns as a function of the first harmonic component, the a second harmonic component and a low-frequency transient component corresponding to an extraneous vertical head movement or to an extraneous pelvis movement.

47. The method of claim 45 further comprising:

detecting a maximum head position, a minimum head position, a maximum pelvis position, and a minimum pelvis position during at least one stride of the plurality of strides based on the simulated head and pelvis movement patterns as a function of hindlimb lameness and forelimb lameness;

wherein the correlating comprises comparing the detected maximum head position, the detected minimum head position, the detected maximum pelvis position, and the detected minimum pelvis position with at least one lameness reference pattern, the at least one lameness pattern indicating a peak time of lameness.

48. The method of claim 46 further comprising:

calculating a first effective amplitude of the first harmonic component and to calculate a second effective amplitude for the second harmonic; and

determining a severity of lameness in the identified affected limb as a function of a ratio of the first effective amplitude to the second effective amplitude.

49. The method of claim 47 wherein the at least one lameness reference pattern comprises four vertical head movement reference patterns with forelimb lameness and three vertical pelvis movement reference patterns with hindlimb lameness.

50. The method of claim 49 wherein the four vertical head movement reference patterns comprise:

a first vertical head pattern depicting less downward movement of a head of the four-legged animal during a stance phase of an affected forelimb and less upward movement of the head after the stance phase of the affected forelimb, the first vertical head pattern corresponding to a peak-time-of-lameness occurring at impact at a beginning of the stance phase of the stride of the affected forelimb;

a second vertical head pattern depicting less downward movement of the head during the stance phase of the affected forelimb, the second vertical head pattern corresponding to the peak-time-of-lameness occurring at a mid-stance when the affected forelimb is perpendicular to a ground level and vertical ground reaction forces on the affected forelimb are maximal;

a third vertical head position pattern depicting less downward movement of the head during the stance phase of the affected forelimb and more upward movement of the head after the stance phase of the affected forelimb, the third vertical head position pattern corresponding to the peak-time-of-lameness occurring during the second half of the stance phase of the forelimb; and

a fourth vertical head position pattern only depicting a greater upward movement of the head after the stance phase of the affected forelimb, the fourth vertical head position pattern corresponding to the peak-time-of-lameness occurring during a push off.

51. The method of claim 49 wherein the three vertical pelvis movement reference patterns for hindlimb lameness comprise:

a first vertical pelvis pattern depicting less downward movement of a pelvis of the four-legged animal during a stance phase of an affected hindlimb, the first vertical pelvis pattern corresponding to a peak-time-of-lameness occurring during a deceleratory phase of the stance phase of the affected hindlimb;

a second vertical pelvis pattern depicting less upward movement of the pelvis after the stance phase of the affected hindlimb, the second vertical pelvis pattern corresponding to the peak-time-of-lameness occurring during an acceleratory phase of the stance phase of the of the affected hindlimb; and

a third vertical pelvis pattern depicting less downward movement of the pelvis during the stance phase of the affected hindlimb and less upward movement of the pelvis after the stance phase of the affected hindlimb, the third vertical pelvis pattern corresponding to the peak-time-of lameness occurring when lameness occurs throughout the stance phase of the affected hindlimb.

52. The method of claim 45 wherein the at least one limb comprises at least one foot.