연구 계획 이경호

Predicting outcome of surgery Ideal approach.. ? Training Data Predicting outcome surgery

Process overview Pre/Post operative data Features Training Features Input pre- operative data Predicting Features

Process overview Pre-operative data Unfiltered Features - Rotation, Flexion, Extension, Moment, Power - Single value, average, min/max, … - Swing phase, Double support - … Filter-based features - knee flexion angle's 5 th value - foot rotation moment’s 7 th value - average knee extension moment in early swing - peak knee flexion in swing phase - … Post-operative data Predicting Features - peak knee flexion in swing phase - knee range of motion in early swing - total knee range of motion - timing of peak knee flexion during swing phase - …

Training Process overview Pre-operative data Post-operative data Predicting Features - peak knee flexion in swing phase - knee range of motion in early swing - total knee range of motion - timing of peak knee flexion during swing phase - … Filter-based features - knee flexion angle's 5 th value - foot rotation moment’s 7 th value - average knee extension moment in early swing - peak knee flexion in swing phase - …

Testing Process overview Input pre-operative data Post-operative data Predicting Features - peak knee flexion in swing phase - knee range of motion in early swing - total knee range of motion - timing of peak knee flexion during swing phase - … Filter-based features - knee flexion angle's 5 th value - foot rotation moment’s 7 th value - average knee extension moment in early swing - peak knee flexion in swing phase - …

Current Dataset GCD File ( Gait Cycle Data ).. surgery..

Predicting Outcomes Predict what? –Good / Poor outcomes –Numerical value of features Which feature? –Motion Data

Predicting Outcomes 여러 수술의 혼재 – FDO+DHL+TAL+RFT +α – DHL+TAL+RFT +α – 추가적인 정보의 필요성

Performance evaluation Repeated hold-out method