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. Author manuscript; available in PMC: 2018 May 1.
Published in final edited form as: IEEE Trans Neural Syst Rehabil Eng. 2016 Jun 7;25(5):447–458. doi: 10.1109/TNSRE.2016.2577882

TABLE 3.

Information-theoretic features (mean ± standard deviation) extracted from the three anatomical axes of swallowing signals grouped by the participants’ stroke history and viscosity

Stroke
Non-Stroke
LZCS ρs * 10−1 LZCns ρns * 10−1
Thin A-P 0.05 ± 0.02§ 9.86 ± 0.01 0.06 ± 0.02 9.86 ± 0.01§
S-I 0.06 ± 0.02§ 9.87 ± 0.01 0.07 ± 0.02 9.88 ± 0.00§
M-L 0.06 ± 0.02 9.89 ± 0.00 0.06 ± 0.02 9.89 ± 0.00

Nectar A-P 0.06 ± 0.03§ 9.89 ± 0.01 0.06 ± 0.02 9.88 ± 0.01
S-I 0.07 ± 0.02§ 9.89 ± 0.00 0.06 ± 0.03 9.89 ± 0.00
M-L 0.06 ± 0.02 9.89 ± 0.00 0.06 ± 0.02 9.90 ± 0.00

Puddung A-P 0.06 ± 0.03 9.90 ± 0.00 0.05 ± 0.02§ 9.88 ± 0.00
S-I 0.07 ± 0.02 9.89 ± 0.00 0.07 ± 0.03§ 9.89 ± 0.00
M-L 0.05 ± 0.02 9.90 ± 0.00 0.06 ± 0.02 9.89 ± 0.00

LZC= Lempel-Ziv Complexity, ρ= Entropy rate

= Statistical difference between A-P and M-L axes

= Statistical difference between S-I and M-L axes

§

= Statistical difference between A-P and S-I axes

Values were statistically significant when probability is less than 0.05 (p-value < 0.05).