상지 관절 기능의 정량적 평가 및 임상적 활용을 위한 스마트폰 기반 운동추적 의료 시스템 개발Development of Smartphone-based Motion Tracking Medical System for Quantitative Evaluation and Clinical Application of Upper Extremity Joint Function
- Other Titles
- Development of Smartphone-based Motion Tracking Medical System for Quantitative Evaluation and Clinical Application of Upper Extremity Joint Function
- Authors
- 정구희; 김균동; 박효준; 명세현
- Issue Date
- Dec-2022
- Publisher
- 한국CDE학회
- Keywords
- Healthcare; ICT; Image processing; IoMT; IoT; Rehabilitation; Shoulder joint
- Citation
- 한국CDE학회 논문집, v.27, no.4, pp 560 - 568
- Pages
- 9
- Indexed
- KCI
- Journal Title
- 한국CDE학회 논문집
- Volume
- 27
- Number
- 4
- Start Page
- 560
- End Page
- 568
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/29673
- ISSN
- 2508-4003
2508-402X
- Abstract
- Because shoulder diseases including the frozen shoulder, rotator cuff disease, and degenerative arthrosis have been rapidly increased, the need to develop a system that can measure quantita tively and objectively has been suggested for achieving the effective exercise and rehabilitation. However, the current method for therapeutic exercise of the shoulder joint consists of the manipulation directly performed by a doctor or physical therapist and self-passive joint move ment through patient education. Recently, with the rapid development of information and com munication technology (ICT) and combined with rehabilitative medicine, innovative changes are being made in the clinical field. In this paper, we introduce a system that can objectively and quantitatively evaluate the shoulder range of motion. This is a system that utilizes the image processing and server technology of a smartphone without purchasing additional equipment and can be used by himself. The assessment of shoulder motion was performed based on the nor mal arm and, when involved in both arms, they were evaluated with a single arm. With the development of intuitive UI/UX for this system, we will continue to conduct R&D with the orthopaedic surgeons who were affiliated with the medical university for constructing the raw data and conducting the clinical research.
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Collections - College of Medicine > Department of Medicine > Journal Articles

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