## 5 Simulation Results of the Proposed Method
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Patient** & **Systolic** & **Diastolic** & **Classifier 2** & **Fuzzy Percentage** & **ESH BP\_Leves Table** \\ \hline
**1** & **139** & **84** & **Grade 1** & **62.4** & **High normal** \\
2 & 135 & 90 & Grade 1 & 62.5 & Grade 1 \\
3 & 160 & 98 & Grade 2 & 70.9 & Grade 2 \\
4 & 177 & 110 & Grade 3 & 84.4 & Grade 3 \\
5 & 142 & 85 & **IsB grade 1** & 61.8 & Ish grade 1 \\
6 & 160 & 89 & Grade 2 & 70.2 & Ish grade 2 \\
7 & **182** & **89** & **Grade 2** & **76.7** & **IsB grade 3** \\
8 & 85 & 50 & Hypotension & 10.2 & Hypotension \\
9 & 110 & 70 & Optimal & 36.6 & Optimal \\
10 & 125 & 82 & Normal & 54.4 & Normal \\
**11** & **135** & **85** & **Grade 1** & **61.1** & **High normal** \\
12 & 159 & 94 & Grade 2 & 70 & Grade 1 \\
13 & 175 & 105 & Grade 2 & 78.9 & Grade 2 \\
14 & 180 & 110 & Grade 3 & 84.8 & Grade 3 \\
15 & 110 & 80 & Normal & 52 & Normal \\
16 & 128 & 89 & High Normal & 60.7 & High normal \\
17 & 158 & 70 & Ish grade 1 & 70.5 & Ish grade 1 \\
18 & 150 & 108 & Grade 2 & 77.1 & Grade 2 \\
19 & 199 & 95 & Grade 3 & 81.3 & Grade 3 \\
20 & 179 & 99 & Grade 2 & 80.5 & Grade 2 \\
21 & 181 & 100 & Grade 3 & 80.9 & Grade 3 \\
22 & 210 & 90 & Grade 3 & 80 & Grade 3 \\
23 & 140 & 100 & Grade 2 & 69.5 & Grade 2 \\
24 & 159 & 120 & Grade 3 & 79.3 & Grade 3 \\
25 & 178 & 115 & Grade 3 & 84.5 & Grade 3 \\
26 & 140 & 80 & Ish grade 1 & 60.2 & Ish grade 1 \\
27 & 150 & 89 & Ish grade 1 & 64.5 & Ish grade 1 \\
28 & 179 & 80 & Ish grade 2 & 73.3 & Ish grade 2 \\
29 & 179 & 89 & Ish grade 2 & 75.4 & Ish grade 2 \\
30 & 199 & 82 & Ish grade 3 & 78.9 & Ish grade 3 \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Shows the results of the 30 patients who were monitored and classified in the classifier 2. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Patient** & **Systolic** & **Diastolic** & **Classifier 1** & **Fuzzy Percentage** & **ESH BP\_Leves Table** \\ \hline
**12** & **159** & **94** & **Grade 2** & **70.2** & **Grade 1** \\
13 & 175 & 105 & Grade 2 & 79.3 & Grade 2 \\
14 & 180 & 110 & Grade 3 & 84.2 & Grade 3 \\
**15** & **110** & **80** & **Optimal** & **50** & **Normal** \\
16 & 128 & 89 & High Normal & 57 & High normal \\
17 & 158 & 70 & ISH & 77.9 & Ish grade 1 \\
**18** & **150** & **108** & **Grade 3** & **83.2** & **Grade 2** \\
19 & 199 & 95 & Grade 3 & 88.6 & Grade 3 \\
**20** & **179** & **99** & **Grade 3** & **81.8** & **Grade 2** \\
21 & 181 & 100 & Grade 3 & 82.8 & Grade 3 \\
22 & 210 & 90 & Grade 3 & 88.1 & Grade 3 \\
23 & 140 & 100 & Grade 2 & 74.5 & Grade 2 \\
24 & 159 & 120 & Grade 3 & 88.5 & Grade 3 \\
25 & 178 & 115 & Grade 3 & 88.6 & Grade 3 \\
**26** & **140** & **80** & **Normal** & **50** & **Ish grade 1** \\
27 & 150 & 89 & Ish & 68.2 & Ish grade 1 \\
28 & 179 & 80 & Ish grade 2 & 73.3 & Ish grade 2 \\
29 & 179 & 89 & Ish grade 2 & 75.4 & Ish grade 2 \\
30 & 199 & 82 & Ish grade 3 & 78.9 & Ish grade 3 \\ \hline \hline \end{tabular}
\end{table} 
Table 5: _Cont._In the following, Table 7 shows the result of the third fuzzy logic system classifier:  
We performed experiments using 24 h monitoring of 30 patients, from which the trend was obtained which was the one that entered to the fuzzy classifier, which gave us the following result based on the accuracy rate in the classification of 30 patients, an accuracy rate of 66.7% was obtained, which classified 20 of 30 patients correctly based on the result given by the ESH table and a classification error rate of 33.3%, which is equivalent to 10 of 30 incorrectly classified. In this case, Table 7 shows the accuracy rate was very bad result because the classifier was confused with many unnecessary rules, this is why we need to optimize the fuzzy rules to obtain the appropriate number of rules and obtain better results. In the following, Table 8 shows the result of the fourth fuzzy logic system classifier:  
We performed experiments using 24 h monitoring of 30 patients, from which the trend was obtained which was the one that entered to the fuzzy classifier.