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AIM:To investigate the use of Augmented Reality (AR) technology as it contributes to spinal surgery education with the free-hand technique, and might reduce the error ratio. MATERIAL and METHODS:Ten candidates, with anatomy education but no surgical experience, applied 36 pedicle screws with C2-C3 posterior transpedicular fixation technique to nine vertebrae models produced via a three-dimensional (3D) printer. RESULTS:Using AR to apply pedicle screws to the experimental vertebrae model increased the safety screw ratio significantly. In comparison of Grade 0 screws to other grades: 6/18 screws (33.3%) in the free-hand technique Group (n=18), and 14/18 screws (77.8%) in the AR Group (n=18), were measured for screw insertion safety ratios. The difference was statistically significant (p=0.018). The resemblance between our results and the results of previous studies researching supportive systems indicates our 3D printed vertebra model might be a helpful educational material. CONCLUSION: AR increases the safety ratio of cervical pedicle screw fixation significantly. The parameters investigated and used for the production of vertebrae models in this study can be used for experimental material production for future studies to investigate pedicle screw positioning.

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Many people have been exposed to lower extremity function losses due to neurological, pathological or traffic accidents. In the physical therapy and rehabilitation of these patients, treatment programs based on robotic systems have started to be preferred instead of conventional methods. In robotic gait rehabilitation, mobilized lower extremity exoskeletons such as Rewalk or un-mobilized lower extremity exoskeletons such as RoboGait are used. It is important to evaluate the rehabilitation process in patients with lower extremity problems. Measurement of surface electromyogram (EMG) signals during the treatment process give information about the functional activities of the muscles. Obtained information plays an important role in determining the intention of patient motion in musculoskeletal design and musculoskeletal activities of the musculoskeletal. Changes in muscle activation timing and amplitude during the use of lower extremity exoskeleton can be determined by analysis of EMG. In this study, muscles involved in walking movement during robotic rehabilitation were examined. The examined iliopsoas, gluteus maximus, gluteus medius muscles provide flexion, extension and abduction movements of the hip, while the medial gastrocnemius and tibialis anterior muscles perform flexion and dorsiflexion movements of the foot. During the gait, the knee joint patency is controlled by the Vastus Medialis and Biceps Femoris muscles. In this study, while 6 patients with lower limb dysfunction were walking on the RoboGait device, the muscle activation potentials obtained from 7 different muscle groups were transferred to the computer simultaneously and wirelessly and displayed in the Matlab environment. The EMG signals measured with the MicroCor Lab device are shaped according to the activation of the muscles during walking. The electrode placement plan is critical for the analysis of EMG signals, and an appropriate electrode placement plan was obtained as a result of the study. Examined measured signals by following with the electrode placement plan, the maximum gluteus and iliopsoas muscles responsible for the extension and flexion movements of the hips are more effective during walking. Gletous maximum muscle was found to be the most effective muscle in walking while the iliopsoas muscle group was involved in the first movement of the leg. As a result of this study, these findings will help to follow the development of the treatment process and to develop EMG controlled mobilized lower extremity exoskeletons.