Novel cross LSTM for predicting the changes of complementary pelvic angles between standing and sitting
Author:
Publisher
Elsevier BV
Subject
Health Informatics,Computer Science Applications
Reference34 articles.
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4. O.D. Pena Cabra, T. Watanabe, Experimental Evaluation of Balance Prediction Models for Sit-to-Stand Movement in the Sagittal Plane, Computational and mathematical methods in medicine 2013, doi: 10.1155/2013/592328.
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1. An artificial neural network model based on standing lateral radiographs for predicting sitting pelvic tilt in healthy adults;Frontiers in Surgery;2022-09-14
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