Abstract
The purpose of this study was to simulate human maximal-effort countermovement jumping with a three-dimensional neuromusculoskeletal model. The specific aim was to investigate muscle force, work and power output of major lower limb muscles during the motion. A neuromusculoskeletal model that has nine rigid body segments, 20 degrees of freedom, 32 Hill-type lower limb muscles was developed. The neural activation input signal was represented by a series of step functions with step duration of 0.05 s. The excitation-contraction dynamics of the contractile element, the tissues around the joints to limit the joint range of motion, as well as the foot-ground interaction were implemented. A simulation was started from a standing posture. Optimal pattern of the activation input signal was searched through numerical optimization with a goal of maximizing the height reached by the mass center of body after jumping up. As a result, feasible kinematics, ground reaction force profile and muscle excitation profile were generated. It was found that monoarticular muscles had major contributions of mechanical work and power output, whereas biarticular muscles had minor contributions. Hip adductors, abductors and external rotator muscles were vigorously activated, although their mechanical work and power output was minor because of their limited length change during the motion. Joint flexor muscles such as m. iliopsoas, m. biceps femoris short head and m. tibialis anterior were activated in the beginning of the motion with an effect of facilitating the generation of a countermovement. © 2005 Elsevier Ltd. All rights reserved.
| Original language | English |
|---|---|
| Pages (from-to) | 367-376 |
| Journal | Journal of Electromyography and Kinesiology |
| Volume | 15 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Aug 2005 |
| Externally published | Yes |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].Funding
This study was partly supported by the research funding of RIKEN awarded to the Computational Biomechanics Unit, as well as by the special post-doctoral program of RIKEN. Akinori Nagano would like to thank Dr. Karin G.M. Gerritsen at the University of Calgary for her supports.
Research Keywords
- Computer simulation
- Musculotendon
- Three-dimensional
Fingerprint
Dive into the research topics of 'Force, work and power output of lower limb muscles during human maximal-effort countermovement jumping'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver