Machine learning-based prediction of joint moments based on kinematics in patients with cerebral palsy
Author:
Publisher
Elsevier BV
Subject
Rehabilitation,Biomedical Engineering,Orthopedics and Sports Medicine,Biophysics
Reference37 articles.
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3. Adaptive predictive systems applied to gait analysis: A systematic review;Caldas;Gait Posture,2020
4. A machine learning approach to estimate hip and knee joint loading using a mobile phone-embedded IMU;De Brabandere;Front. Bioeng. Biotechnol.,2020
5. Alterations in surgical decision making in patients with cerebral palsy based on three-dimensional gait analysis;DeLuca;J. Pediatr. Orthop.,1997
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Prediction of joint moments from kinematics using machine learning in children with congenital talipes equino varus and typically developing peers;Journal of Orthopaedics;2024-11
2. Evaluating feasibility of lower extremity joint moments predicted by an artificial intelligence model during walking in patients with cerebral palsy;2024-04-08
3. Abnormal Gait Classification in Children With Cerebral Palsy Using ConvLSTM Hybrid Model and GAN;IEEE Access;2024
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