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Osteoarthritis (OA) of the knee is a degenerative disease of the cartilage, which affects especially the elderly, and can cause pain, joint deformity, bone loss and consequently the functional reduction of the lower limbs. It is known that the malalignment of the lower limbs, in addition to other factors, is associated with the genesis of knee OA by causing an asymmetric load distribution on the knees. Thus, the measurement of malalignment of the lower limbs, by physical evaluation or through radiographic exams, is essential for planning surgery to correct the lower limb deviation. Taking into account the relationship of the radiographic examination with the exposure of patients to ionizing radiation, the additional cost involved, and in the case of the clinical examination, subjectivity and dependence on the specialist’s experience, it becomes interesting to investigate alternative technologies for measuring the anatomical deviation of the lower limbs. This work explores the use of Augmented Reality as a tool to measure the malalignment of the lower limbs, reducing the dependence on radiographic exams and at the same time increasing the objectivity of the measurement through the automatic identification of the position of the joints in the patient’s body. For this, a mobile application is developed using Apple’s ARKit to later assess the accuracy and reproducibility of the proposed methodology.
You can download the full article in portuguese at https://drive.google.com/file/d/1gO99aobQm5RYeTtq_5fQayFWCcVMsezC/view?usp=share_link
Keywords : Apple ARKit, Swift, knee osteoarthritis, malalignment of the lower limb, augmented reality, orthopedics, motion capture