Calculation of minimum ground clearance using body worn sensors
First Claim
1. A method for assessing falls risk in one or more persons using a system comprising one or more inertial sensors and at least one processor, the method comprising:
- collecting reference data to generate a regression model using the at least one processor, and wherein the collecting of reference data comprises;
measuring inertial sensor trial data using one or more inertial sensors on one or more persons during a walking trial; and
measuring reference minimum ground clearance measurements associated with the one or more persons using an optical motion capture system having at least one camera during the walking trial;
generating, by the at least one processor, the regression model using;
(a) the measured inertial sensor trial data from one or more inertial sensors associated with one or more persons and (b) the measured reference minimum ground clearance measurements from the optical capture system associated with the one or more persons collected as the reference data during the walking trial, wherein the generated regression model represents minimum ground clearance parameters as a function of one or more parameters of the motion data from the one or more inertial sensors;
after generating the regression model,measuring subsequent motion data using one or more inertial sensors on a first person while walking;
calculating, by the at least one processor, a minimum ground clearance parameter of the first person using the generated regression model, wherein an input to the generated regression model comprises parameters selected from the measured subsequent motion data of the first person, and wherein the calculation is performed without use of data from the optical motion capture system; and
generating, using the processor, a value indicative of a risk of fall for the first person based on the calculated minimum ground clearance parameter of the first person.
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Abstract
Methods, systems, and apparatus for deriving a relationship between minimum ground clearance (MGC) and inertial sensor data. A regression model may be generated by collecting tri-axial angular velocity and acceleration data from inertial sensors and MGC data from optical motion capture systems during a walking trial. A linear, quadratic, interaction, stepwise interaction, or another regression model may be generated. The regression model may estimate the MGC as a function of one or more parameters measured by or derived from the inertial sensor data. The regression model may be used to calculate an estimate of the MGC based on inertial sensor data collected from one or more individuals.
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Citations
19 Claims
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1. A method for assessing falls risk in one or more persons using a system comprising one or more inertial sensors and at least one processor, the method comprising:
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collecting reference data to generate a regression model using the at least one processor, and wherein the collecting of reference data comprises; measuring inertial sensor trial data using one or more inertial sensors on one or more persons during a walking trial; and measuring reference minimum ground clearance measurements associated with the one or more persons using an optical motion capture system having at least one camera during the walking trial; generating, by the at least one processor, the regression model using;
(a) the measured inertial sensor trial data from one or more inertial sensors associated with one or more persons and (b) the measured reference minimum ground clearance measurements from the optical capture system associated with the one or more persons collected as the reference data during the walking trial, wherein the generated regression model represents minimum ground clearance parameters as a function of one or more parameters of the motion data from the one or more inertial sensors;after generating the regression model, measuring subsequent motion data using one or more inertial sensors on a first person while walking; calculating, by the at least one processor, a minimum ground clearance parameter of the first person using the generated regression model, wherein an input to the generated regression model comprises parameters selected from the measured subsequent motion data of the first person, and wherein the calculation is performed without use of data from the optical motion capture system; and generating, using the processor, a value indicative of a risk of fall for the first person based on the calculated minimum ground clearance parameter of the first person. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 17, 18)
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11. A non-transitory computer-readable medium, the computer-readable medium comprising one or more instructions that, when executed by one or more processors, cause the one or more processors to perform a method for assessing falls risk in one or more persons, the processors being configured to:
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collect data to generate a regression model, wherein the collecting of reference data comprises; measuring inertial sensor trial data using one or more inertial sensors on one or more persons during a walking trial; and measuring reference minimum ground clearance measurements associated with the one or more persons using an optical motion capture system having at least one camera during the walking trial; generate a regression model using;
(a) the measured inertial sensor trial data from one or more inertial sensors associated with one or more persons and (b) the measured reference minimum ground clearance measurements from the optical capture system associated with the one or more persons collected as the reference data during the walking trial, wherein the regression model represents minimum ground clearance parameters as a function of one or more parameters of the motion data from the one or more inertial sensors; and
, after generating the regression model,measuring subsequent motion data using one or more inertial sensors on a first person while walking; calculate, using the generated regression model, a minimum ground clearance parameter of the first person, wherein an input to the regression model comprises parameters selected from the measured subsequent motion data of the first person, and wherein the calculation is performed without use of the optical motion capture system; and generate a value indicative of a risk of fall for the first person based on the calculated minimum ground clearance parameter of the first person. - View Dependent Claims (12, 13, 14)
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16. A system for assessing falls risk in one or more persons comprising:
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one or more inertial sensors mounted on a body of a first person configured to measure motion data; and a processor configured to; collect data to generate a regression model, wherein the collecting of reference data comprises; measuring inertial sensor trial data using one or more inertial sensors on one or more persons during a walking trial; and measuring reference minimum ground clearance measurements associated with the one or more persons using an optical motion capture system having at least one camera during the walking trial; generate a regression model using;
(a) the measured inertial sensor trial data from one or more inertial sensors associated with one or more persons and (b) the measured reference minimum ground clearance measurements from the optical capture system associated with the one or more persons collected as the reference data during the walking trial, wherein the regression model represents minimum ground clearance parameters as a function of one or more parameters of the motion data from the one or more inertial sensors;
thereafter,measure subsequent motion data using one or more inertial sensors on a first person while walking; calculate, using the generated regression model, a minimum ground clearance parameter of the first person, wherein an input to the regression model comprises parameters selected from the measured subsequent motion data of the first person, the motion data associated with the first person being measured using the one or more inertial sensors on the first person, and wherein the calculation is performed without use of the optical motion capture system; and generate a value indicative of a risk of falling for the first person based on the calculated minimum ground clearance parameter associated with the first person. - View Dependent Claims (19)
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Specification