US 12,408,878 B2
Risk estimation apparatus, risk estimation system, risk estimation method, and non-transitory computer readable recording medium
Chenhui Huang, Tokyo (JP); Kenichiro Fukushi, Tokyo (JP); Yusuke Sekiguchi, Sendai (JP); Haruki Yaguchi, Sendai (JP); Keita Honda, Sendai (JP); Shinichi Izumi, Sendai (JP); and Dai Owaki, Sendai (JP)
Assigned to NEC CORPORATION, Tokyo (JP)
Filed by NEC Corporation, Tokyo (JP)
Filed on Jan. 16, 2024, as Appl. No. 18/413,378.
Application 18/413,378 is a continuation of application No. 17/362,498, filed on Jun. 29, 2021, granted, now 11,925,483.
Claims priority of application No. 2020-115941 (JP), filed on Jul. 3, 2020.
Prior Publication US 2024/0148336 A1, May 9, 2024
Int. Cl. A61B 5/00 (2006.01); A61B 5/103 (2006.01); G16H 40/67 (2018.01); G16H 50/30 (2018.01)
CPC A61B 5/7275 (2013.01) [A61B 5/1038 (2013.01); A61B 5/6807 (2013.01); G16H 40/67 (2018.01); G16H 50/30 (2018.01); A61B 2562/0247 (2013.01); A61B 2562/04 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A risk estimation apparatus comprising:
sensors measuring foot pressures of a left foot and a right foot of a user, the sensors respectively provided in a left insole of a left shoe and a right insole of a right shoes of the user;
at least one memory storing instructions; and
at least one processor configured to execute the instructions to:
acquire, from the sensors, measured data indicating a time variation of the foot pressures of the left foot and the right foot, wherein the measured data of the foot pressures of the left foot and the right foot are acquired on both a heel side and a toe side of each of the left foot and the right foot;
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 an index value of asymmetry between the foot pressures on the heel side and the toe side of the left foot and the right foot based on a local maximum value and a local minimum value of the synchronized measured data of the foot pressures of the left foot and the right foot;
estimate a risk of abnormality of a lower limb by using a machine learned model on the basis of the index value of the asymmetry between the foot pressures of the left foot and the right foot,
wherein the risk of the abnormality of the lower limb is used for making a decision related to improving a gait of the user to reduce asymmetry between the foot pressures of the left foot and the right foot.