公开(公告)号：US20250134455A1

公开(公告)日：2025-05-01

申请号：US18396120

申请日：2023-12-26

Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Song Joo LEE ,  Hyung Min KIM ,  Kyung-Mi PARK ,  Keun Tae KIM ,  Duguma Teshome Gemechu ,  Ji-Yoon LEE ,  Olga Valerevna KIM

IPC: A61B5/00 ,  A63B23/12 ,  G02B27/01 ,  G06F3/01 ,  G06T19/00

Abstract: The present application relates to an apparatus and method for evaluating XR-based upper limb motion control and motion control ability, the apparatus including a head mount display (HMD) configured to be worn on a user's head part and including a display for providing visual feedback information capable of monitoring a visual cue and a repetitive motion of muscle synergy or a direction and magnitude of a force that are contents for XR (eXtended Reality)-based multi-joint rehabilitation training of an upper limb, a measurement part, a synergy evaluation part, a visual cue control part and a composite biofeedback part.

公开(公告)号：US20230210375A1

公开(公告)日：2023-07-06

申请号：US17973120

申请日：2022-10-25

Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY ,  Korea University Research and Business Foundation

Inventor： Song Joo LEE ,  Jong Woo KANG ,  Keun Tae KIM ,  Duguma Teshome Gemechu ,  Eunyoung SEO ,  Taehoon LEE

IPC: A61B5/00 ,  A61B5/02 ,  A61B5/389

CPC classification number: A61B5/0051 ,  A61B5/4519 ,  A61B5/02007 ,  A61B5/7275 ,  A61B5/389 ,  A61B5/7264 ,  A61B5/746 ,  A61B5/6833 ,  A61B5/0022 ,  A61B2562/0247 ,  A61B2562/0219

Abstract: A device for diagnosing an abnormality by measuring a minimal change in a muscle according to an embodiment includes a vibration unit that provides vibration to a body part of a user; a measuring unit that detects a minimal change in a muscle by measuring a change in elasticity of the body part according to the vibration; and a processing unit that calculates an abnormality of the body part based on the change in the elasticity of the body part, wherein the processing unit calculates the abnormality of the body party by using an algorithm that detects a degree to which a specific value of the muscle is far from a distribution chart by analyzing data distribution or an anomaly detection algorithm that detects whether there is anomaly in a variable.