• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.5B
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• pp.502-510
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• 2011

In this research, a wireless movable systems is introduced that is applicable for real-world clinical examination in order to resolve the inconvenience of wired motion analysis system which uses markers by measuring more accurately the angle of the 3D motion. The system is composed of bluetooth data transmission and 6 DOF inertial measurement system that is composed of 3-axis acceleration and 3-axis gyroscope. The samples were collected from 10 feet of 5 young children who were confirmed as patients having flat feet and achilles tendonitis by podiatric expert in pediatrics, and the validity of the system was evaluated by comparison with the opinion by the expert using the EMG data and the data measured by the developed system. ROM of ankle was measured by the difference between the maximum and the minimum peaks of 3-axis values (pitch, roll and yaw) measured at lateral malleolus bone, and based on this measured value, the eversion rate became relatively higher as flat feet state become worse, which is equivalent to the opinion from the podiatric experts. It was shown that there is a relation between the certain muscle activities and the abnormal motion of foot caused by disease.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.2
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• pp.28-37
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• 2011

With growing concerns about healthy life recently, although the podiatry which deals with the whole area for diagnosis, treatment of foot and leg, and prevention has been widely interested, research in our country is not active. Also, because most of the previous researches in data analysis performed the quantitative approaches, the reasonable level of reliability for clinical application could not be guaranteed. Clinical data mining utilizes various data mining analysis methods for clinical data, which provides decision support for expert's diagnosis and treatment for the patients. Because the decision tree can provide good explanation and description for the analysis procedure and is easy to interpret the results, it is simple to apply for clinical problems. This study investigate rules of item of diagnosis in disease types for adapting decision tree after collecting diagnosed data patients who are 2620 feet of 1310(males:633, females:677) in shoes clinic (department of rehabilitation medicine, Chungnam National University Hospital). and we classified 15 foot diseases followed factor of 22 foot diseases, which investigated diagnosis of 64 rules. Also, we analyzed and compared correlation relationship of characteristic of disease and factor in types through made decision tree from 5 class types(infants, child, adolescent, adult, total). Investigated results can be used qualitative and useful knowledge for clinical expert`s, also can be used tool for taking effective and accurate diagnosis.