US 12,471,839 B2
Low back pain analysis device, low back pain analysis method, and program
Ziheng Wang, Sendai (JP); Keizo Sato, Sendai (JP); and Ryoichi Nagatomi, Sendai (JP)
Assigned to TOHOKU UNIVERSITY, Sendai (JP)
Filed by TOHOKU UNIVERSITY, Sendai (JP)
Filed on Jan. 18, 2022, as Appl. No. 17/648,289.
Claims priority of application No. 2021-017422 (JP), filed on Feb. 5, 2021.
Prior Publication US 2022/0249019 A1, Aug. 11, 2022
Int. Cl. A61B 5/11 (2006.01); A61B 5/00 (2006.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01)
CPC A61B 5/4824 (2013.01) [A61B 5/1118 (2013.01); A61B 5/6891 (2013.01); A61B 5/7264 (2013.01); A61B 5/7275 (2013.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01)] 10 Claims
OG exemplary drawing
 
9. A low back pain analysis method, the method comprising:
acquiring gravity center movement data with a sensor included in furniture during a period in which a person is sitting on the furniture;
using a processor performing computer program instructions for:
receiving the gravity sensor movement data;
processing the gravity center movement data in real-time to obtain a unit classification of the gravity center movement data, including dividing the gravity center movement data for each unit of time during the period in which the person is sitting on the furniture;
performing clustering on the unit classification of the gravity center movement data;
identifying a movement pattern, including based on both a stable sitting state and a body movement based on the clustering on the unit classification of the gravity center movement data; and
determining a relationship between the pattern and a low back pain.