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 quantitatively 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 movement through patient education. Recently, with the rapid development of information and communication 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 normal 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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