Risk estimation apparatus, risk estimation system, risk estimation method, and non-transitory computer readable recording medium

US2024148336A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2024148336-A1
Application numberUS-202418413378-A
CountryUS
Kind codeA1
Filing dateJan 16, 2024
Priority dateJul 3, 2020
Publication dateMay 9, 2024
Grant date

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  5. First independent claim

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Abstract

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A risk estimation apparatus includes a data acquisition unit that acquires measured data of foot pressures of the left foot and the right foot obtained by sensors that are provided in shoes and measure the foot pressures, a stance phase identification unit that identifies a starting timing and an ending timing of a stance phase of each of the left foot and the right foot from the measured data of the foot pressures, and a risk estimation unit that estimates a risk of abnormality of a lower limb on the basis of asymmetry between the foot pressures of the left foot and the right foot during the stance phase.

First claim

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What is claimed is: 1 . A risk estimation apparatus comprising: at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: acquire measured data indicating a time variation of foot pressures of a left foot and a right foot obtained by sensors that are provided in shoes and measure the foot pressures; synchronize the measured data of the foot pressure of the left foot with the measured data of the foot pressure of the right foot; calculate index value of asymmetry between the foot pressure of the left foot and the right foot based on the synchronized measured data of the foot pressures of the left foot and the right foot; and estimate a risk of abnormality of a lower limb on the basis of the index value of the asymmetry between the foot pressures of the left foot and the right foot. 2 . The risk estimation apparatus according to claim 1 , wherein the at least one processor is further configured to execute the instructions to synchronize the measured data of the foot pressure of the left foot with the measured data of the foot pressure of the right foot by associating data for one walking cycle of the left foot with data for one walking cycle of the right foot with respect to parts of measurement periods that overlap each other. 3 . The risk estimation apparatus according to claim 1 , wherein the at least one processor is further configured to execute the instructions to calculate the index value of the asymmetry between the foot pressure of the left foot and the right foot based on a local maximum value of the synchronized measured data. 4 . The risk estimation apparatus according to claim 1 , wherein the at least one processor is further configured to execute the instructions to: acquire the measured data of the foot pressures on a heel side and a toe side of each of the left foot and the right foot; and calculate the index value of the symmetry between the foot pressures on the heel side and the toe side of the left foot and the right foot. 5 . The risk estimation apparatus according to claim 4 , wherein the at least one processor is further configured to execute the instructions to estimate risk level of the abnormality of the lower limb by using a machine learned model, wherein the risk level is using for making decision related to improving a gait to reduce asymmetry between the foot pressure of the left foot and the foot pressure of the right foot. 6 . A risk estimation method executed by a computer, the method comprising: acquiring measured data indicating a time variation of foot pressures of a left foot and a right foot obtained by sensors that are provided in shoes and measure the foot pressures; synchronizing the measured data of the foot pressure of the left foot with the measured data of the foot pressure of the right foot; calculating index value of asymmetry between the foot pressure of the left foot and the right foot based on the synchronized measured data of the foot pressures of the left foot and the right foot; and estimating a risk of abnormality of a lower limb on the basis of the index value of the asymmetry between the foot pressures of the left foot and the right foot. 7 . A non-transitory storage medium storing a program causing a computer to perform a risk estimation method comprising: acquiring measured data indicating a time variation of foot pressures of a left foot and a right foot obtained by sensors that are provided in shoes and measure the foot pressures; synchronizing the measured data of the foot pressure of the left foot with the measured data of the foot pressure of the right foot; calculating index value of asymmetry between the foot pressure of the left foot and the right foot based on the synchronized measured data of the foot pressures of the left foot and the right foot; and estimating a risk of abnormality of a lower limb on the basis of the index value of the asymmetry between the foot pressures of the left foot and the right foot.

Assignees

Inventors

Classifications

  • A61B5/7275Primary

    Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor · CPC title

  • Measuring plantar pressure during gait · CPC title

  • Footwear · CPC title

  • for remote operation · CPC title

  • G16H50/30Primary

    for calculating health indices; for individual health risk assessment · CPC title

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What does patent US2024148336A1 cover?
A risk estimation apparatus includes a data acquisition unit that acquires measured data of foot pressures of the left foot and the right foot obtained by sensors that are provided in shoes and measure the foot pressures, a stance phase identification unit that identifies a starting timing and an ending timing of a stance phase of each of the left foot and the right foot from the measured data …
Who is the assignee on this patent?
Nec Corp
What technology area does this patent fall under?
Primary CPC classification A61B5/7275. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Thu May 09 2024 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).