Title:
ARTHRITIS DIAGNOSIS DEVICE, ARTHRITIS DIAGNOSIS METHOD, AND COMPUTER-READABLE RECORDING MEDIUM
Document Type and Number:
WIPO Patent Application WO/2022/131842
Kind Code:
A1
Abstract:
An embodiment provides an arthritis diagnosis device. The arthritis diagnosis device may comprise: a first data collection unit which collects joint image data; a first feature extraction unit which extracts first features of the joint on the basis of the joint image data; a second data collection unit which collects gait data; a second feature extraction unit which extracts second features of the joint on the basis of the gait data; and a diagnosis unit which diagnoses inflammation of the joint on the basis of the first features and the second features of the joint.
Inventors:
KIM HEE CHAN (KR)
RO DU HYUN (KR)
KWON SOON BIN (KR)
KU YUNSEO (KR)
RO DU HYUN (KR)
KWON SOON BIN (KR)
KU YUNSEO (KR)
Application Number:
PCT/KR2021/019263
Publication Date:
June 23, 2022
Filing Date:
December 17, 2021
Export Citation:
Assignee:
SEOUL NAT UNIV R&DB FOUNDATION (KR)
IAC IN NAT UNIV CHUNGNAM (KR)
IAC IN NAT UNIV CHUNGNAM (KR)
International Classes:
A61B6/00; A61B5/00; A61B5/11; A61B5/389; G06N20/00; G16H50/20
Foreign References:
| JP2002532126A | 2002-10-02 | |||
| KR102124095B1 | 2020-06-17 | |||
| KR101599077B1 | 2016-03-14 | |||
| KR20130013935A | 2013-02-06 |
Other References:
KWON SOON BIN; HAN HYUK-SOO; LEE MYUNG CHUL; KIM HEE CHAN; KU YUNSEO; RO DU HYUN: "Machine Learning-Based Automatic Classification of Knee Osteoarthritis Severity Using Gait Data and Radiographic Images", IEEE ACCESS, vol. 8, 30 June 2020 (2020-06-30), USA , pages 120597 - 120603, XP011798103, DOI: 10.1109/ACCESS.2020.3006335
Attorney, Agent or Firm:
FIRSTLAW P.C. (KR)
Download PDF: