연구 계획

1. 연구 계획 이경호 2012. 5. 1

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

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

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

5. Process overview • Training 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 5thvalue • foot rotation moment’s 7th value • average knee extension moment in early swing • peak knee flexion in swing phase - …

6. Process overview • Testing 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 5thvalue • foot rotation moment’s 7th value • average knee extension moment in early swing • peak knee flexion in swing phase - …

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

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

9. Predicting Outcomes • 여러 수술의 혼재 • FDO+DHL+TAL+RFT +α • DHL+TAL+RFT +α • 추가적인 정보의 필요성

10. Performance evaluation • Repeated hold-out method