Artificial neural network can improve the accuracy of a markerless skeletal model in L5/S1 position estimation during symmetric lifting
Author:
Funder
Ministry of Science and Technology, Taiwan
Publisher
Elsevier BV
Subject
Rehabilitation,Biomedical Engineering,Orthopedics and Sports Medicine,Biophysics
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4. Relative performances of artificial neural network and regression mapping tools in evaluation of spinal loads and muscle forces during static lifting;Arjmand;J. Biomech.,2013
5. Marker-less versus marker-based driven musculoskeletal models of the spine during static load-handling activities;Asadi;J. Biomech.,2020
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