ALGORITHM FOR QUANTITATIVE STANDING BALANCE ASSESSMENT

• US 20120253233A1
• Filed: 08/04/2011
• Published: 10/04/2012
• Est. Priority Date: 03/31/2011
• Status: Abandoned Application

• Current Assignee: Care Innovations LLC
• Original Assignee: Care Innovations LLC
• Inventors: GREENE, Barry, WALSH, Lorcan, NISCANAILL, Cliodhna
• Application Number:
  US13/198,343
• Publication Number:
  US 20120253233A1
• Time in Patent Office: Days
• US Class Current: 600/592
• CPC Class Codes: A61B 2562/0247 Pressure sensors
• CPC Class Codes: A61B 5/1036 Measuring load distribution, e.g. podologic studies
• CPC Class Codes: A61B 5/1117 Fall detection
• CPC Class Codes: A61B 5/7267 involving training the classification device
• 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: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

A system, method, and apparatus is provided for calculating a risk of falls from pressure measurements. Pressure data may be measured by a pressure sensor matrix, such as a pressure mat. Multiple snapshots of pressure data may be generated, each with a plurality of pressure points corresponding to coordinates in the pressure sensor matrix. Pressure-based metrics, including center of mass and center of pressure, may be derived from the pressure measurements. The plurality of centers of pressure and other pressure-related parameters may be used to generate a statistical model that predicts the risk of falls.

Claims

1. A method of assessing falls risk, comprising:

receiving a first plurality of detected pressure points, each detected pressure point associated with one of a set of coordinates of a pressure sensor matrix;

associating a first set of coordinates of the pressure sensor matrix with a first foot region based on the first plurality of detected pressure points;

calculating a first pressure centroid for the first foot region;

associating a second set of coordinates of the pressure sensor matrix with a second foot region based on the first plurality of detected pressure points;

calculating a second pressure centroid for the second foot region;

calculating a center of pressure based on the first pressure centroid and second pressure centroid; and

generating a balance assessment metric based on the calculated center of pressure.

2. The method of claim 1, further comprising receiving a second plurality of detected pressure points at a time different from a time of receipt of the first plurality of detected pressure points, each detected pressure point associated with one of the set of coordinates of the pressure sensor matrix;

and

calculating a second center of pressure based on the second plurality of detected pressure points.

3. The method of claim 2, further comprising generating a falls risk assessment model based on the first center of pressure and the second center of pressure.

4. The method of claim 2, wherein the balance assessment metric comprises a sway length, gait length, a velocity of the center of pressure, a mean distance between each center of pressure point over a plurality of snapshots and the mean center of pressure point during the plurality of snapshots, a root-mean-squared distance between each center of pressure point during the plurality of snapshots and the mean center of pressure point during the snapshots, a total center of pressure path length travelled over a plurality of snapshots, or any combination thereof.

5. An apparatus for assessing risk of falls, comprising:

a matrix of pressure sensors configured to generate data identifying a first plurality of pressure points exerted on the matrix of pressure sensors, each of the pressure sensors associated with one of a plurality of coordinates of the matrix; and

a processor configured to;

receive the first plurality of pressure points from one or more sensors of the matrix of pressure sensors,

associate a first set of coordinates of the matrix with a first foot region based on the plurality of pressure points,

calculate a first pressure centroid for the first foot region,

associate a second set of coordinates of the matrix with a second foot region based on the first plurality of pressure points,

calculate a second pressure centroid for the second foot region,

calculate a center of pressure based on the first pressure centroid and second pressure centroid, and

generate a balance assessment metric based on the calculated center of pressure.

6. The apparatus of claim 5, wherein the processor is further configured to receive a second plurality of pressure points at a subsequent time, and to calculate a second center of pressure based on the second plurality of pressure points.

7. The apparatus of claim 6, wherein the processor is further configured to generate a falls risk assessment model based on the first center of pressure and the second center of pressure.

8. The apparatus of claim 6, wherein the balance assessment metric comprises a sway length, a gait length, a velocity of the center of pressure, a mean distance between each center of pressure point over a plurality of snapshots and the mean center of pressure point during the plurality of snapshots, a root-mean-squared distance between each center of pressure point during the plurality of snapshots and the mean center of pressure point during the snapshots, a total center of pressure path length travelled over a plurality of snapshots, or any combination thereof.

9. The apparatus of claim 5, wherein the apparatus comprises a mat embedding the plurality of pressure sensors.

10. A system for assessing risk of falls, comprising:

a matrix of pressure sensors configured to generate data identifying a first plurality of pressure points exerted on the matrix of pressure sensors, each of the pressure sensors associated with one of a plurality of coordinates of the matrix; and

a processor configured to;

receive the first plurality of pressure points from the matrix of pressure sensors,

associate a first set of the plurality of coordinates of the matrix with a first foot region based on the first plurality of detected pressure points,

calculate a first pressure centroid for the first foot region,

associate a second set of the plurality of coordinates of the matrix with a second foot region,

calculate a second pressure centroid for the second foot region,

calculate a center of pressure based on the first centroid of the pressure points and the second pressure centroid, and

generate a balance assessment metric based on the calculated center of pressure.

11. The system of claim 10, wherein the processor is further configured to receive a second plurality of pressure points at a subsequent time from the matrix of pressure sensors, and to calculate a second center of pressure based on the second plurality of detected pressure points.

12. The system of claim 11, wherein the processor is further configured to generate a falls risk assessment model based on the first center of pressure and the second center of pressure.

13. The system of claim 11, wherein the balance assessment metric comprises a sway length, a gait length, a velocity of the center of pressure, a mean distance between each center of pressure point over a plurality of snapshots and the mean center of pressure point during the plurality of snapshots, a root-mean-squared distance between each center of pressure point during the plurality of snapshots and the mean center of pressure point during the snapshots, a total center of pressure path length travelled over a plurality of snapshots, or any combination thereof.

14. The system of claim 10, wherein the matrix of pressure sensors comprises a pressure sensor mat embedding the matrix of pressure sensors.

15. A method for assessing falls risk, comprising:

receiving a first plurality of detected pressure points at a first instance in time, each of the first plurality of detected pressure points associated with one of a first set of coordinates of a pressure sensor matrix;

calculating a first center of pressure associated with the first plurality of detected pressure points;

receiving a second plurality of detected pressure points at a second instance in time, each of the second detected pressure points associated with one of a second set of coordinates of the pressure sensor matrix;

calculating a second center of pressure associated with the second plurality of detected pressure points;

calculating a mean distance between a mean center of pressure and at least the first and second centers of pressure, a root-mean-squared distance between the mean center of pressure and at least the first and second centers of pressure, a total center of pressure path length for at least the first and second centers of pressure, an average velocity of the center of pressure for at least the first and second centers of pressure, or any combination thereof.