## 4 Results and Discussion
Furthermore, for biomedical signal transmission, reception data are collected from the control center; therefore, more readings are congregated to examine the possible outcomes. The configuration setup with a data set is given in Table 1. \begin{tabular}{c c c c} \hline \hline \multirow{2}{*}{**Number of**} & \multicolumn{4}{c}{**Reference Data Set**} \\ \cline{2-5}  & **Total Volume of** & **Percentage of** & **Percentage of** & **Position of Data** \\  & **the Signal** & **Signal Error** & **Signal Projection** & **Signals** \\ \hline
10 & 222.23 & 0.3 & +1.78 & \(-\)0.56 \\ \hline
100 & 2356.15 & 1.4 & +1.94 & \(-\)0.28 \\ \hline
1000 & 5891.01 & 1.6 & +2.15 & +0.01 \\ \hline
2000 & 8942.07 & 2.0 & +2.28 & +0.07 \\ \hline
5000 & 11,247.56 & 2.2 & +3.16 & +1.21 \\ \hline
10,000 & 14,892.18 & 2.4 & +3.49 & +1.45 \\ \hline \hline \multicolumn{5}{c}{**Signal characteristics**} \\ \hline \hline \multicolumn{5}{c}{**Impetus of signal: 50 Volts**} \\ \hline \hline \multicolumn{5}{c}{**Time series: 200-400 microseconds**} \\ \hline \hline \multicolumn{5}{c}{**Input velocity: 20 m/s**} \\ \hline \hline \multicolumn{5}{c}{**Bandwidth: 20,000 Hz**} \\ \hline \hline \multicolumn{5}{c}{**Length of the biological signal (input): 25 micro volts**} \\ \hline \hline \multicolumn{5}{c}{**Length of the biological signal (output): 18 micro volts**} \\ \hline \hline \multicolumn{5}{c}{**Number of signals represented: 1768**} \\ \hline \hline \end{tabular} \begin{tabular}{c c} \hline \hline Scenario 3: & Minimization of loss function; \\ Scenario 4: & Fuzzy-signal correlation; \\ Scenario 5: & Cost of implementation. & \\ \hline \hline \end{tabular}   
All five scenarios will exhibit unique characteristics in the designed system model; therefore, a high-end processor is used for simulation with MATLAB. Furthermore, for biomedical signal transmission, reception data are collected from the control center; therefore, more readings are congregated to examine the possible outcomes. The configuration setup with a data set is given in Table 1. \begin{tabular}{c c c c} \hline \hline \multirow{2}{*}{**Number of**} & \multicolumn{4}{c}{**Reference Data Set**} \\ \cline{2-5}  & **Total Volume of** & **Percentage of** & **Percentage of** & **Position of Data** \\  & **the Signal** & **Signal Error** & **Signal Projection** & **Signals** \\ \hline
10 & 222.23 & 0.3 & +1.78 & \(-\)0.56 \\ \hline
100 & 2356.15 & 1.4 & +1.94 & \(-\)0.28 \\ \hline
1000 & 5891.01 & 1.6 & +2.15 & +0.01 \\ \hline
2000 & 8942.07 & 2.0 & +2.28 & +0.07 \\ \hline
5000 & 11,247.56 & 2.2 & +3.16 & +1.21 \\ \hline
10,000 & 14,892.18 & 2.4 & +3.49 & +1.45 \\ \hline \hline \multicolumn{5}{c}{**Signal characteristics**} \\ \hline \hline \multicolumn{5}{c}{**Impetus of signal: 50 Volts**} \\ \hline \hline \multicolumn{5}{c}{**Time series: 200-400 microseconds**} \\ \hline \hline \multicolumn{5}{c}{**Input velocity: 20 m/s**} \\ \hline \hline \multicolumn{5}{c}{**Input velocity: 20,000 Hz**} \\ \hline \hline \multicolumn{5}{c}{**Input velocity: 25 micro volts**} \\ \hline \hline \end{tabular} \begin{tabular}{c c} \hline \hline Scenario 5: & Fuzzy-signal correlation; \\ Scenario 5: & Cost of implementation. & \\ \hline \hline \end{tabular}   
\begin{tabular}{c c c} \hline \hline Scenario 6: & Fuzzy-signal correlation; \\ Scenario 7: & Fuzzy-signal correlation; \\ Scenario 8: & Fuzzy-signal correlation; \\ Scenario 9: & Fuzzy-signal correlation; \\ Scenario 9: & Fuzzy-signal correlation; \\ Scenario 100 The biomedical signals that are represented in this process consist of time-series representations of all medical events in biological arrangement. By using such arrangements, it is possible to record all activities inside the body, such as the temperament rate, muscle contradictions, etc. The abovementioned monitored signals are obtained by analyzing the materials that are present inside the body systems, using a biomedical signal scanner.