Development and validation of lower limb musculoskeletal model for Pinpointed Muscle Force Control

Tomohiro Iida, Ming Ding, Hiroshi Takemura, Hiroshi Mizoguchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this research, in order to achieve Pinpointed Muscle Force Control (PMFC) in lower limb, we developed lower limb musculoskeletal model and use the model for calculation and control one or some selected target muscles force. PMFC is the method which can be expected the effect to rehabilitation or training by giving a stimulus to the particular muscle. In the developed model, one leg has 4 links, 7 degrees of freedom (DOFs) and 44 major muscles. This model can estimate the muscle forces by using the optimization method. Some external force which the selected muscle generates target muscle force are obtained by using this model. The validation is taken by comparing change rate of the estimated muscle force with change rate of electromyogram (EMG) of the muscle obtained from experiments. We validate effectiveness of this model and the PMFC in lower limb by result of experiments.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011
Pages1355-1360
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2011
Event2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011 - Phuket, Thailand
Duration: 7 Dec 201111 Dec 2011

Publication series

Name2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011

Conference

Conference2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011
CountryThailand
CityPhuket
Period7/12/1111/12/11

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Iida, T., Ding, M., Takemura, H., & Mizoguchi, H. (2011). Development and validation of lower limb musculoskeletal model for Pinpointed Muscle Force Control. In 2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011 (pp. 1355-1360). [6181477] (2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011). https://doi.org/10.1109/ROBIO.2011.6181477