Abstract
Accurate estimation of the in vivo locations of skeletal landmarks plays an integral role in several biomechanical research techniques. Because of rounding errors caused by instruments or skin movement, the data obtained through cinematography are usually not accurate and rise to a distance matrix which, because of the data errors, may not be Euclidean. The aim of this paper is to find the best Euclidean distance matrix (EDM) that approximates the distance matrix and then, an accurate estimation of the locations of skeletal landmarks. A useful scheme for parametrizing an orthogonal matrix is also described.
| Original language | English |
|---|---|
| Pages (from-to) | 103-111 |
| Number of pages | 9 |
| Journal | Computer Methods in Biomechanics and Biomedical Engineering |
| Volume | 9 |
| Issue number | 2 |
| DOIs | |
| State | Published - 2006 |
Bibliographical note
Funding Information:†Research supported by King Fahd University of Petroleum and Minerals, PO Box 119, Dhahran 31261, Saudia Arabia ‡Department of Mathematics, University of DundeeDundee, Scotland DD1 4HN, UK
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Ankle
- Bone markers
- EDM
- Embedding dimension
- Errors
- Foot
- Quasi-Newton method
- Skin displacement
ASJC Scopus subject areas
- Bioengineering
- Biomedical Engineering
- Human-Computer Interaction
- Computer Science Applications
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