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. Author manuscript; available in PMC: 2014 Oct 29.
Published in final edited form as: Comput Methods Biomech Biomed Eng Imaging Vis. 2013 Oct 29:10.1080/21681163.2013.846231. doi: 10.1080/21681163.2013.846231

Table 2.

Eigenvectors are here reported from the first principal component of the single subject repeated swallows and the between subject swallows. Eigenvectors indicate the direction of variance in the covariance matrix for each landmark with a common origin of (0,0) set for each eigenvector. A magnitude for each vector was calculated using Pythagoras’ theorem. The magnitude should not be construed as relative distance of shape change, rather a reflection of the distribution of covariance in shape change. Greater magnitude reflects a tighter distribution of covariance meaning that shape changes were less random.

Anatomical
Landmark
Eigenvectors of single subject repeated
swallows
Eigenvectors of between subject
hyolaryngeal excursion
x-
component
y-
component
Magnitude
of
resulting
vector
x-
component
y-
component
Magnitude
of
resulting
vector
1-mandible −0.09 −0.34 0.35 −0.17 −0.24 0.29
2 -hard palate −0.09 −0.04 0.10 −0.05 −0.15 0.16
3-atlas 0.15 −0.03 0.15 0.13 −0.20 0.24
4-C2 0.30 −0.15 0.33 0.31 −0.21 0.37
5-C4 0.48 −0.23 0.53 0.37 −0.17 0.41
6-hypopharynx/UES −0.09 0.36 0.37 0.07 0.34 0.35
7-posterior larynx −0.05 0.25 0.26 −0.09 0.34 0.35
8-anterior larynx −0.18 0.17 0.25 −0.15 0.30 0.34
9-hyoid −0.43 0.01 0.43 −0.41 0.00 0.41