Numerical instability of Hill-type muscle models

Author:

Yeo Sang-Hoon1ORCID,Verheul Jasper12ORCID,Herzog Walter3,Sueda Shinjiro4

Affiliation:

1. School of Sport, Exercise & Rehabilitation Sciences, University of Birmingham, Birmingham, UK

2. Cardiff School of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff, UK

3. Human Performance Laboratory, Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada

4. Department of Computer Science and Engineering, Texas A&M University, College Station, TX, USA

Abstract

Hill-type muscle models are highly preferred as phenomenological models for musculoskeletal simulation studies despite their introduction almost a century ago. The use of simple Hill-type models in simulations, instead of more recent cross-bridge models, is well justified since computationally ‘light-weight’—although less accurate—Hill-type models have great value for large-scale simulations. However, this article aims to invite discussion on numerical instability issues of Hill-type muscle models in simulation studies, which can lead to computational failures and, therefore, cannot be simply dismissed as an inevitable but acceptable consequence of simplification. We will first revisit the basic premises and assumptions on the force–length and force–velocity relationships that Hill-type models are based upon, and their often overlooked but major theoretical limitations. We will then use several simple conceptual simulation studies to discuss how these numerical instability issues can manifest as practical computational problems. Lastly, we will review how such numerical instability issues are dealt with, mostly in an ad hoc fashion, in two main areas of application: musculoskeletal biomechanics and computer animation.

Funder

Biotechnology and Biological Sciences Research Council

National Science Foundation

Publisher

The Royal Society

Subject

Biomedical Engineering,Biochemistry,Biomaterials,Bioengineering,Biophysics,Biotechnology

Reference140 articles.

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3. Kandel ER, Schwartz JH, Jessell TM, Siegelbaum S, Hudspeth AJ, Mack S (eds). 2000 Principles of neural science, vol. 4. New York, NY: McGraw-Hill.

4. Lieber RL. 2002 Skeletal muscle structure, function & plasticity: the physiological basis of rehabilitation. Baltimore, MD: Lippincott Williams & Wilkins.

5. Muscles, Reflexes, and Locomotion

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