Abstract
The general static optimisation (GSO) process is one of various muscle force estimation methods due to its low computational requirements. However, it can show biased muscle force estimation under muscle co-contraction. In the present study, we introduced a novel hybrid static optimisation (HSO) method to estimate reasonable muscle forces during muscle co-activation movements using more specific equality constraints, i.e. agonist and antagonist muscle moments predicted from a new correlation coefficient approach. The new method was evaluated for heel-rise movements. We found that the proposed method improved the potential of antagonist muscle force estimation in comparison to the GSO solutions. The proposed HSO method could be applied in biomechanics and rehabilitation, for example.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 249-254 |
| Number of pages | 6 |
| Journal | Computer Methods in Biomechanics and Biomedical Engineering |
| Volume | 15 |
| Issue number | 3 |
| DOIs | |
| State | Published - Mar 2012 |
Funding
This research project was supported in part by the Sports Promotion Fund of Seoul Olympic Sports Promotion Foundation from Ministry of Culture, Sports and Tourism and was also financially supported in part by the Ministry of Education, Science Technology (MEST) and Korea Industrial Technology Foundation (KOTEF) through the Human Resource Training Project for Regional Innovation.
Keywords
- Co-activation
- Electromyography
- Muscle force
- Static optimisation
ASJC Scopus subject areas
- Bioengineering
- Human-Computer Interaction
- Biomedical Engineering
- Computer Science Applications