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US 8,805,641 B2Granted
Wireless sensor based quantitative falls risk assessment
AssigneeIntel-GE Care Innovations LLC
InventorBarry R. Greene
Life of this patent
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Abstract
Methods and systems may provide for a plurality of kinematic sensors to be coupled to a corresponding plurality of shanks of an individual, a processor, and a memory to store a set of instructions. If executed by the processor, the instructions can cause the system to calculate a timed up and go (TUG) time segment based on angular velocity data from the plurality of kinematic sensors. The instructions may also cause the system to calculate a derived parameter based on the angular velocity data, and generate a falls risk assessment based on at least one of the TUG time segment and the derived parameter.
Claims24
A method comprising:
- obtaining, at a processor, a plurality of adaptive thresholds whose values change based on angular velocity data from a plurality of shank mounted kinematic sensors, wherein the plurality of adaptive thresholds defines a likely range of a plurality of heel-strike points and toe-off points in the angular velocity data;
- detecting, at the processor, the plurality of heel-strike points and toe-off points based on the angular velocity data and based on the plurality of adaptive thresholds;
- obtaining, at the processor, a first parameter based on a timed up and go (TUG) time segment, wherein the TUG time segment is determined based on the plurality of heel-strike points and toe-off points, and wherein the TUG time segment comprises at least one of a walk time, a turn time, a return time, a single support percentage, a step time, a walk-time ratio, or a swing time, wherein the walk time identifies an amount of time between a first step and a last step of a TUG test, wherein the turn time identifies an amount of time between the first step and a turn step of the TUG test, and wherein the return time identifies an amount of time between the turn step and the last step of the TUG test;
- obtaining, at the processor, a second parameter based on a derived parameter, the derived parameter being determined based on the angular velocity data, wherein the derived parameter includes at least one of a temporal gait parameter or an angular velocity-based parameter;
- and
- generating, at the processor, a falls risk assessment based on at least one of the first parameter or second parameter.
3 more elements
A system comprising:
- a plurality of kinematic sensors to be coupled to a corresponding plurality of shanks of an individual;
- a processor;
- and
- a memory to store a set of instructions which, if executed by the processor, cause the system to,
- obtain a plurality of adaptive thresholds whose values change based on angular velocity data from the plurality of kinematic sensors, wherein the plurality of adaptive thresholds defines a likely range of a plurality of heel-strike points and toe-off points in the angular velocity data;
- detect the plurality of heel-strike points and toe-off points based on the angular velocity data and based on the plurality of adaptive thresholds;
- obtain a first parameter based on a timed up and go (TUG) time segment, wherein the TUG time segment is determined based on the plurality of heel-strike points and toe-off points;
- obtain a second parameter based on a derived parameter, wherein the derived parameter is determined based on the angular velocity data;
- and
- generate a falls risk assessment based on at least one of the first parameter or the second parameter.
7 more elements
A non-transitory computer readable storage medium comprising a set of instructions which, if executed by a processor, cause a computer to:
- obtain a plurality of adaptive thresholds whose values change based on angular velocity data from a plurality of kinematic sensors, wherein the plurality of adaptive thresholds defines a likely range of a plurality of heel-strike points and toe-off points in the angular velocity data;
- detect the plurality of heel-strike points and toe-off points based on the angular velocity data and based on the plurality of adaptive thresholds;
- obtain a first parameter based on a timed up and go (TUG) time segment, wherein the TUG time segment is determined based the plurality of heel-strike points and toe-off points;
- obtain a second parameter based on a derived parameter, wherein the derived parameter is determined based on the angular velocity data;
- and
- generate a falls risk assessment based on at least one of the first parameter or the second parameter.
3 more elements
Dependencies are inferred from the claim text.