## 4 Discussion
Thus, the decision of which movement phase to remain from fH2w-fH1w and eH2w-eH1w becomes easier. In our case, fH2w and eH2w, as parts of MT LOAD 9, will be saved in the EP, while fH1w and eH1w will be removed. If the analyses started from the consonance pairs fH2w-fH1w and eH2w-eH1w, it is obvious that the researcher must choose between the slower phase and the faster one, but with an added load. Since [PERSON] et al. [44] showed that, for participants, it is difficult to perform smooth rhythmic movements very slowly, fH1w could be preferred instead of fH2w. Hence, fH2w and eH2w from MT LOAD9 will be omitted. Also, from the pairs fH1-fH1w and eH1-eH1w, fH1 and eH1, as parts of MT 6, will be omitted to obtain a second optimized EP. As shown in Table 8, the first version of the shortened EP takes one minute less than the time of the full EP, while the second optimized EP takes two minutes less. Hence, the procedure can save between 10% and 20% of the full EP execution time, but the saved time is more because the explaining and training time is not included here. The outcomes of ICrA, PCA, and SCA were compared for each participant to examine the performances of the three approaches from another point of view. The identical results obtained by ICrA, PCA, and SCA for the twenty-eight flexion and twenty-eight extension phases are summarized in Figure 3.  
The similarities in the results obtained by ICrA, PCA, and SCA for 56 correlation pairs (28 for flexion and 28 for extension) for each participant are discussed further. As can be seen from Figure 3, all mentioned methods calculated similar results (consonance or dissonance, respectively) for a major part of the correlation pairs. The most similarities (28 from possible 28) were found for P1, P4, P5, and P6, when flexion is in focus, while for extension, these participants were P5, P6, and P7. The least similarities between the results of the three algorithms were found for P2 and P8 (only 24) and P3 (only 16) for flexion and extension, respectively. When the differences in the results of the three algorithms are discussed, the ICrA and SCA outcomes matched 34 correlation pairs (12 for flexion and 22 for extension). The matching results for PCA and SCA were found for sixteen correlation pairs, while for ICrA and PCA, they were only five. Again, it can be concluded that ICrA and SCA are more similar in evaluating results in comparison to ICrA and PCA, and PCA and SCA. \begin{table}
\begin{tabular}{l l l l l l} \hline \hline
**Full EP** & **Runtime [min]** & **I Optimized EP** & **Runtime [min]** & **II Optimized EP** & **Runtime [min]** \\ \hline MT 1 & 1 & MT 1 & 1 & MT 1 & 1 \\ MT 2 & 1 & MT 2 & 1 & MT 2 & 1 \\ MT 3 & 1 & MT 3 & 1 & MT 3 & 1 \\ MT 4 & 1 & MT 4 & 1 & MT 4 & 1 \\ MT 5 & 1 & MT 5 & 1 & MT 5 & 1 \\ MT 6 & 1 & MT 6 & 1 & - & - \\ MT LOAD 7 & 1 & MT LOAD 7 & 1 & MT LOAD 7 & 1 \\ MT LOAD 8 & 1 & MT LOAD 8 & 1 & MT LOAD 8 & 1 \\ MT LOAD 9 & 1 & MT LOAD 9 & 1 & - & - \\ MT LOAD 10 & 1 & - & - & MT LOAD 10 & 1 \\ Total runtime, & 10 & Total runtime, & 9 & Total runtime, & 8 \\ \hline \hline \end{tabular}
\end{table} 
Table 8: Full and two kinds of optimized experimental protocols. These theoretical results can be applied most successfully in rehabilitation and sports practice, where the degree of muscle loading is of great importance in the recovery and training stage. When looking for the degree of loading of a muscle group (for example, submaximal, maximal, etc.) in a certain practice, it will be possible to use variations of the movement with different speeds and weights, making the movement different while achieving the same efficiency. Furthermore, the experimental protocol can be optimized to reduce physical and psychological fatigue in the subjects involved when biomedical studies are conducted.