Systems, devices, and methods for interpreting movement

• US 8,652,071 B2
• Filed: 07/06/2011
• Issued: 02/18/2014
• Est. Priority Date: 05/02/2005
• Status: Active Grant

• Current Assignee: University of Virginia Patent Foundation (University of Virginia)
• Original Assignee: University of Virginia Patent Foundation (University of Virginia)
• Inventors: Williams, Mark E.
• Primary Examiner(s): Hindenburg, Max
• Assistant Examiner(s): DANEGA, RENEE A
• Application Number:
  US13/177,144
• Publication Number:
  US 20110264010A1
• Time in Patent Office: 958 Days
• Field of Search: 600/595
• US Class Current: 600/595
• CPC Class Codes: A61B 5/1038 Measuring plantar pressure during gait
• 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 5/1124 Determining motor skills
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/4076 Diagnosing or monitoring particular conditions of the nervous system A61B5/4821, A61B5/4824 take precedence
• CPC Class Codes: A61B 5/4082 Diagnosing or monitoring movement diseases, e.g. Parkinson, Huntington or Tourette
• CPC Class Codes: A61B 5/4519 Muscles A61B5/389, A61B5/224 take precedence
• CPC Class Codes: A61B 5/4528 Joints A61B5/4533, A61B5/4538 take precedence
• CPC Class Codes: A61B 5/7257 using Fourier transforms
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: G06V 40/25 Recognition of walking or running movements, e.g. gait recognition

Abstract

According to some exemplary embodiments, a method or system can involve associating a plurality of biokinetographic comparison results with a first specific dysfunction from a group of specific dysfunctions, each of the biokinetographic comparison results obtained from a comparison of a biokinetographic value to a standard for a corresponding biokinetographic variable.

Claims

1. One or more computer-storage media having computer-executable instructions embodied thereon that, when executed, perform a method for identifying a risk of falling for a unique patient based on comparison results for one or more biokinetographic values for one or more specific components of a gait cycle, the method comprising:

obtaining biokinetographic data for the unique patient;

identifying in said biokinetographic data one or more biokinetographic values for the one or more specific components of a gait cycle of the unique patient, wherein the specific components of the gait cycle are one or more of initiation of gait movement, base of gait, cadence, gait turnaround or arm swing during gait movement;

comparing each of the one or more biokinetographic values of the gait cycle of the unique patient to a corresponding standard of one or more specific dysfunctions for each of the one or more biokinetographic values of the gait cycle;

utilizing the comparison results for each of the one or more biokinetographic values of the gait cycle of the unique patient to determine one or more specific dysfunctions associated with the one or more biokinetographic values, wherein the comparison results are based on the comparison of each of the one or more biokinetographic values of the gait cycle of the unique patient to a corresponding standard of the one or more specific dysfunctions for each of the one or more biokinetographic values of the gait cycle; and

identifying the risk of the unique patient falling based on the comparison results for each of the one or more biokinetographic values of the gait cycle of the unique patient when the biokinetographic value for the unique patient is slow cadence with less than 100 steps per minute or include a heel strike interval greater than 330 milliseconds, wherein the one or more biokinetographic values comprise magnitude of accelerations of less than one gravitational unit.

2. The media of claim 1, wherein the one or more biokinetographic values include 1) symmetrical cadence and 2) slow cadence.

3. The media of claim 1, wherein the specific dysfunction is arthritis.

4. The media of claim 1, wherein the specific dysfunction is myopathy.

5. The media of claim 1, wherein the specific dysfunction is motor neuropathy.

6. The media of claim 1, wherein the method further comprises diagnosing the specific dysfunction.

7. The media of claim 1, wherein the method further comprises assessing the specific dysfunction.

8. The media of claim 1, wherein the method further comprises determining a treatment for the specific dysfunction.

9. The media of claim 1, wherein the method further comprises providing a prognosis regarding the specific dysfunction.