Method and system for determining an activity level in an individual

• US 20050103129A1
• Filed: 11/12/2004
• Published: 05/19/2005
• Est. Priority Date: 11/14/2003
• Status: Active Grant

• Current Assignee: Ossur hf
• Original Assignee: Ossur hf
• Inventors: Karason, Gudjon G.
• Granted Patent: US 7,107,180 B2
• Time in Patent Office: Days
• US Class Current: 73/865.100
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/1038 Measuring plantar pressure during gait
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Abstract

A method for quantifying activity levels of an individual within a predetermined time period including measuring a plurality of activity variables from an individual during a predetermined time period, providing a plurality of activity variables with minimum and maximum threshold values and a weighing factor, calculating a subindex for each of the activity variables as a function of the minimum and maximum threshold values and the weighing factor, and calculating a sum of the activity variables to determine an activity index of an individual. A personal activity level analysis system is configured to execute the method for obtaining an activity index used in quantifying an activity level of an individual.

Claims

1. A method for quantifying an activity level of an individual within a predetermined time period with a measuring and processing device based on a plurality of activity variables, said measuring and processing device storing for each of said plurality of activity variables a minimum activity variable corresponding to a generally minimum threshold level of the activity variable, a maximum activity variable corresponding to a generally maximum threshold level of the activity variable, and a weighing factor, the method comprising the steps of:

measuring the plurality of activity variables of an individual over said time period with said measuring and processing device;

calculating with said measuring and processing device a subindex for each of said activity variables using the following relationship

$\mathrm{Subindex}=\frac{\begin{array}{c}(\mathrm{activity}<br><br>\text{\hspace{1em}<br><br>}<br><br>\mathrm{variable}-\\ \mathrm{minimum}<br><br>\text{\hspace{1em}<br><br>}<br><br>\mathrm{activity}<br><br>\text{\hspace{1em}<br><br>}<br><br>\mathrm{variable})\end{array}}{\begin{array}{c}(\mathrm{maximum}<br><br>\text{\hspace{1em}<br><br>}<br><br>\mathrm{activity}<br><br>\text{\hspace{1em}<br><br>}<br><br>\mathrm{variable}-\\ \mathrm{minimum}<br><br>\text{\hspace{1em}<br><br>}<br><br>\mathrm{activity}<br><br>\text{\hspace{1em}<br><br>}<br><br>\mathrm{variable})\end{array}}\times <br><br>\mathrm{weighingfactor}$

calculating with said measuring and processing device the sum of said subindexes to determine an activity index corresponding to an activity level of an individual.

2. The method according to claim 1, wherein the activity variables relate to the gait and ambulation of an individual and comprise at least one of the following variables:

a total number of steps, a total distance traveled, an average gait speed, an average cadence, a maximum sustained gait speed, a maximum period of locomotion, a maximum consecutive distance traveled, and combinations and sum totals thereof.

3. The method according to claim 1, wherein the weighing factor is selected on the basis of the influence of the respective activity variable on the activity index.

4. The method according to claim 3, further comprising comparing the activity index to a scale to determine the activity level of an individual.

5. A method for quantifying activity levels of an individual within a predetermined time period with a processing device, the processing device storing minimum and maximum threshold values and a weighing factor associated with a set of activity variables of an individual, the method comprising the steps of:

measuring a plurality of activity variables of an individual over said predetermined time period;

calculating in the processing device a subindex for each of said activity variables as a function of the minimum and maximum threshold values and the weighing factor; and

calculating in the processing device a sum of said activity variables to determine an activity index corresponding to an activity level of an individual.

6. The method according to claim 5, wherein the activity variables relate to the gait and ambulation of an individual and comprise at least one of the following variables:

a total number of steps, a total distance traveled, an average gait speed, an average cadence, a maximum sustained gait speed, a maximum period of locomotion, a maximum consecutive distance traveled, and combinations and sum totals thereof.

7. The method according to claim 5, wherein the weighing factor is selected on the basis of the influence of the respective activity variable on the activity index.

8. The method according to claim 5, further comprising comparing the activity index to a scale to determine the activity level of an individual.

9. A personal activity level analysis system, comprising:

at least one measuring device arranged for measuring activity information of an individual within a predetermined time period; and

a processor configured to determine a plurality of activity variables from the activity information obtained from the measuring devices within the predetermined time period, said processor storing minimum and maximum threshold values and a weighing factor for each of said activity variables, said processor arranged to calculate a subindex for each of said activity variables as a function of the minimum and maximum threshold values and the weighing factor, and said processor configured to determine an activity index from a sum of the subindexes of the activity variables.

10. The personal activity level analysis system according to claim 9, wherein the activity variables relate to the gait and ambulation of an individual.

11. A personal activity level analysis system, comprising:

measuring means configured to obtain activity information of an individual; and

processing means for calculating an activity index of an individual based on the activity information obtained by the measuring means;

wherein the activity index is generated from at least one of the subindexes based on minimum and maximum activity information, measured activity information, and at least one weighing factor.

12. The personal activity level analysis system according to claim 11, wherein the activity information related to the gait and ambulation of an individual.

13. A method for quantifying activity levels of an individual within a predetermined time period, the method comprising the steps of:

measuring a plurality of activity variables of an individual during said predetermined time period;

providing said plurality of activity variables with minimum and maximum threshold values and a weighing factor;

calculating a subindex for each of said activity variables as a function of the minimum and maximum threshold values and the weighing factor; and

calculating a sum of said activity variables to determine an activity index corresponding to an activity level of an individual.