Gait analysis system and methods

• US 9,232,911 B2
• Filed: 12/05/2013
• Issued: 01/12/2016
• Est. Priority Date: 08/06/2010
• Status: Active Grant

• Current Assignee: Covenant Ministries Of Benevolence Co.
• Original Assignee: Covenant Ministries Of Benevolence Co.
• Inventors: Wilson, Richard R., Oudekerk, Douglas R., Wilson, Douglas P., Fogel, Karla M., Neth Townsend, Rebecca
• Primary Examiner(s): HINDENBURG, MAX F
• Application Number:
  US14/097,903
• Publication Number:
  US 20140094717A1
• Time in Patent Office: 768 Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/1038 Measuring plantar pressure during gait
• CPC Class Codes: A61B 5/112 Gait analysis
• CPC Class Codes: A61B 5/6807 Footwear
• CPC Class Codes: A61B 5/7225 Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation A61B5/30, A61B5/316 take precedence; transformers for specific applications H01F38/00; amplifiers H03F
• CPC Class Codes: A61B 5/743 Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots

Abstract

Systems and methods for analyzing the gait of an individual are disclosed. The disclosed systems and methods can be configured to acquire data from a first array and a second array of sensors that are configured to be placed in a left and/or right shoe, respectively. The acquired data can be collected or separated into at least two separate gait phases for each array, compared to a baseline condition for each gait phase and categorized into one of at least two uniformity categories for each gait phase. Examples of collected and/or calculated data include pressure values, shear stress values and torque values. The analysis can be focused on both feet of a person, or focused on one foot. A graphical output showing at least one entire gait cycle based on the uniformity categories can then be generated.

Claims

1. A method for analyzing the gait of an individual wearing a left shoe and a right shoe, the method including the steps of:

(a) acquiring data from a first array comprising a plurality of pressure sensors and shear stress sensors configured for placement in a left shoe and from a second array comprising a plurality of pressure sensors and shear stress sensors configured for placement in a right shoe, the acquired data being separated into at least two separate gait phases for each array;

(b) comparing at least a portion of the acquired data to a baseline condition for each gait phase; and

(c) categorizing the sensors in each array, or a group of sensors in each array, into one of at least two uniformity categories for each gait phase based on the comparison of the acquired data to the baseline condition.

2. The method according to claim 1, wherein the at least two separate gait phases for each array comprises a heel strike gait phase, a mid-stance gait phase, and a toe-off gait phase.

3. The method according to claim 1, wherein the baseline condition comprises data derived from a baseline test of the individual'"'"'s gait.

4. The method according to claim 1, wherein the baseline condition comprises data derived from a previous analysis of the individual'"'"'s gait.

5. The method according to claim 1, wherein the baseline condition comprises pressure data derived from calculated normal gait values for the individual.

6. The method according to claim 1, wherein the baseline condition comprises data derived from the mean value of a corresponding pair of sensors or group of sensors in each array.

7. The method according to claim 1, wherein the step of comparing the data acquired relating to each sensor or a group of sensors in the arrays to a baseline condition includes comparing the acquired data to at least one deviation threshold value of the baseline condition.

8. The method according to claim 1, wherein a deviation threshold value of the baseline condition is defined for each gait phase.

9. The method according to claim 1, further comprising:

(d) creating a graphical output based on the uniformity category into which each sensor or group of sensors has been placed, the output showing at least one entire gait cycle wherein each gait phase is individually represented by a right footprint and a left footprint.

10. The method according to claim 9, wherein:

(e) the graphical output shows shaded, patterned or colored areas correlating to the uniformity category for each pressure sensor on each footprint for each gait phase in the gait cycle, the shaded, patterned or colored areas also being shown on each footprint at a location corresponding to the actual sensor location within the shoe.

11. The method according to claim 10, wherein each shaded, patterned or colored area is blended or transitioned together with an adjacent shaded, patterned or colored area.

12. The method according to claim 9, wherein the graphical output further includes showing a value for shear stress for each gait phase.

13. The method according to claim 12, wherein the graphical output further includes showing a longitudinal component and a lateral component for the shear stress value.

14. The method according to claim 13, wherein the shear stress and component values are shown with arrows.

15. The method according to claim 9, wherein the graphical output further includes a torque value arrow for each gait phase.

16. The method according to claim 12, wherein the graphical output further includes a torque value arrow for each gait phase.