ACL再建術後のリハビリ評価基準をカメラで自動推定
Automated Camera-Based Estimation of Rehabilitation Criteria Following ACL Reconstruction
マーカー不要のカメラ映像からレッグプレスの変位と力を推定し、ACL再建術後のリハビリ進捗評価を自動化する手法を提案した。
著者: Choong Hee Kim, Shannon M. Danforth, Patrick D. Holmes, Daphna Raz, Darlene Yao, Asheesh Bedi, Ram Vasudevan
分類: cs.RO
原文アブストラクト
Anterior cruciate ligament (ACL) reconstruction necessitates months of rehabilitation, during which a clinician evaluates whether a patient is ready to return to sports or occupation. Due to their time- and cost-intensive nature, these screenings to assess progress are unavailable to many. This paper introduces an automated, markerless, camera-based method for estimating rehabilitation criteria following ACL reconstruction. To evaluate the performance of this novel technique, data were collected weekly from 12 subjects as they used a leg press over the course of a 12-week rehabilitation period. The proposed camera-based method for estimating displacement and force was compared to encoder and force plate measurements. The leg press displacement and force values were estimated with 89.7% and 85.3% accuracy, respectively. These values were then used to calculate lower-limb symmetry and to track patient progress over time.
