132 Intraclass coefficient (ICC) was used to determine the agreement between the features extracted from different measurements. ICC was calculated by using IBM SPSS Statistics 27. A two-way mixed model with index type of absolute agreement was employed to verify the reliability of our measures on UP velocities and coordination. ICC > 0.5 was considered as moderate agreement, ICC > 0.75 was considered a good agreement, and ICC > 0.9 was considered an excellent agreement [29]. Statistical Analysis: It was performed using MATLAB 2018b. The Shapiro–Wilk test was first applied to test the normality of the distributions. A one-way analysis of variance test with Duncan test as post hoc (in case of Gaussian distribution) or Kruskal–Wallis test with Dunn–Sidak test as post hoc (in case of non-Gaussian distribution) was applied. MV, as well as the coordination features CC and MSE, was tested to discriminate among the four selected phases. A p -value < 0.05 was considered statistically significant. B. Validation in IVF Patients Validation in IVF patients aimed at testing the ability of the extracted features to distinguish between the successful and unsuccessful groups following IVF. Features that can establish significant differences between the two groups can be considered as predictors of successful IVF treatment. In all patients, only top-quality embryos, according to morphological analysis, were transferred. Feature Extraction: The MV of the UP in both C2F and F2C directions, as well as the coordination between ERant and ERpos by CC, MSE, and Hd, was calculated from each RSR signal in each patient. Statistical Analysis: Double-tailed Student’s t -test (in case of Gaussian distribution) or Wilcoxon rank-sum test (in case of non-Gaussian distribution) was used. A p-value < 0.05 was considered statistically significant.
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