In-vitro identification of shoulder joint and muscle dynamics based on motion capture and musculoskeletal computation

Akihiko Murai, Yusuke Kawano, Ko Ayusawa, Mitsunori Tada, Noboru Matsumura, Takeo Nagura

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

Abstract

Dynamics properties of shoulder joint and muscle are experimentally identified under different musculoskeletal conditions for a digital human model with accurate dynamics. Passive swing motions of scapula and upper limb bones in cadaveric specimen with and without muscles are measured by an optical motion capture system. External forces that are applied to the scapula bone are simultaneously measured by a force plate. The dynamics identification process consists of 3 steps: 1) identify the inertial parameters of the cadaveric specimen with and without muscles respectively, 2) identify the viscosity of the glenohumeral joint from the specimen without muscles, and 3) identify the viscosity of the shoulder muscles from the specimen with muscles and the identified joint viscosity. These parameters are identified in six cadaveric specimens. Their joint viscosities are 5.33E-02 ± 1.33E-02 Nms/rad (without muscles) and 1.07E-01 ± 2.28E-02 Nms/rad (with muscle), and their muscle viscosities are 6.69E+02 ± 8.11E+02 Ns/m (mean ± SD). The identified joint viscosity corresponds with the literature value. This measurement and identification algorithm would improve the dynamics of the digital human model and realize the accurate muscle activity estimation and the motion simulation.

Original languageEnglish
Title of host publication2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6050-6053
Number of pages4
Volume2016-October
ISBN (Electronic)9781457702204
DOIs
Publication statusPublished - 2016 Oct 13
Event38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, United States
Duration: 2016 Aug 162016 Aug 20

Other

Other38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
CountryUnited States
CityOrlando
Period16/8/1616/8/20

Fingerprint

Shoulder Joint
Muscle
Muscles
Viscosity
Scapula
Joints
Bone
In Vitro Techniques
Bone and Bones
Upper Extremity

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Cite this

Murai, A., Kawano, Y., Ayusawa, K., Tada, M., Matsumura, N., & Nagura, T. (2016). In-vitro identification of shoulder joint and muscle dynamics based on motion capture and musculoskeletal computation. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 (Vol. 2016-October, pp. 6050-6053). [7592108] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2016.7592108

In-vitro identification of shoulder joint and muscle dynamics based on motion capture and musculoskeletal computation. / Murai, Akihiko; Kawano, Yusuke; Ayusawa, Ko; Tada, Mitsunori; Matsumura, Noboru; Nagura, Takeo.

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Vol. 2016-October Institute of Electrical and Electronics Engineers Inc., 2016. p. 6050-6053 7592108.

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

Murai, A, Kawano, Y, Ayusawa, K, Tada, M, Matsumura, N & Nagura, T 2016, In-vitro identification of shoulder joint and muscle dynamics based on motion capture and musculoskeletal computation. in 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. vol. 2016-October, 7592108, Institute of Electrical and Electronics Engineers Inc., pp. 6050-6053, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, Orlando, United States, 16/8/16. https://doi.org/10.1109/EMBC.2016.7592108
Murai A, Kawano Y, Ayusawa K, Tada M, Matsumura N, Nagura T. In-vitro identification of shoulder joint and muscle dynamics based on motion capture and musculoskeletal computation. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Vol. 2016-October. Institute of Electrical and Electronics Engineers Inc. 2016. p. 6050-6053. 7592108 https://doi.org/10.1109/EMBC.2016.7592108
Murai, Akihiko ; Kawano, Yusuke ; Ayusawa, Ko ; Tada, Mitsunori ; Matsumura, Noboru ; Nagura, Takeo. / In-vitro identification of shoulder joint and muscle dynamics based on motion capture and musculoskeletal computation. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Vol. 2016-October Institute of Electrical and Electronics Engineers Inc., 2016. pp. 6050-6053
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