## 4 Discussion  
### MPP and Contact Area Values  
The number of sensors in each device highly influences the reported divergence values concerning MPP. The Pedar(r) system, with only 99 sensors, has a lower resolution and tends to focus on specific areas of high pressure. Therefore, each sensor covers a larger area, which can amplify the intensity of the pressure captured at the points of the most significant load [40, 41]. This characteristic results in higher values of MPP since the Pedar(r) system's sensors capture the pressure concentration at specific sites without dispersing it as much as Physiosensing(r). Physiosensing(r), in turn, with 1600 sensors, captures the pressure in a more distributed and precise way, softening the pic values due to the existence of a higher-density mesh of sensors. Sensors covering a smaller area distribute the pressure, resulting in a lower average. Therefore, the significant difference observed can be attributed, in large part, to the way each device distributes pressure as a function of the number of sensors [15]. According to [PERSON] et al. [42], when assessing plantar pressure using insoles, it is necessary to consider the fact that the center of pressure is not static, so the pressure distribution changes rapidly due to the smallest movements of the human body. Therefore, each of the 99 sensors that make up the insole must be able to recover between exposures. In fact, the Pedar(r) system is normally used to read data when the patient is walking, or in any other type of more active movement. However, the tests were carried out with the volunteers in a resting position, which significantly reduces plantar pressure in some areas of the foot, which may explain the differences in MPP. The difference between the contact area values can be explained by the high-density mesh of sensors in the Physiosensing(r) system [5]. With 1600 sensors distributed on the platform, this system can record a larger contact area. Furthermore, this system can even access regions of low pressure that Pedar(r) cannot pick up due to the lower number of sensors. In the case of the Pedar(r) system, the lower number of sensors means that only areas of higher pressure are recorded. In contrast, lower-pressure contact areas can go unnoticed, resulting in a smaller total contact area. This difference is crucial for applications where full pressure distribution and complete plantar contact are essential, such as postural analysis \begin{table}
\begin{tabular}{c c c} \hline \hline  & **ICC** & \(\alpha\) \\ \hline
**MPP** & 0.276 & 0.562 \\ \hline
**Contact Area** & 0.231 & 0.781 \\ \hline \hline \end{tabular}
\end{table} 
Table 6: ICC and Cronbach’s alpha (\(\alpha\)) coefficient of the average MPP and contact area regarding Pedar® and Physiosensing® systems. or balance studies, where the contact area global allows a wider vision of the pressure distribution [5]. The high density of sensors in Physiosensing(r) allows for capturing a more detailed contact area, including areas with low pressure. This result shows that Physiosensing(r) is significantly more effective at picking up total plantar contact, which is relevant for studies that require a thorough analysis of the foot surface [5; 15]. The effect sizes obtained for both metrics reinforce the relevance of the observed differences. For MPP, [PERSON]'s d and Hedges' correction indicated a large effect size, suggesting that the difference in maximum pressure measurement between the devices is substantial in practical terms. This magnitude of difference implies that the choice of the device can significantly influence the results in studies focused on pressure peaks, with Pedar(r) being more suitable to capture these critical variables. In the case of the contact area, the effect size was even higher, indicating a marked difference between the devices. The result suggests that Physiosensing(r) provides a more complete measurement of the contact area, which is particularly useful in studies that require a detailed analysis of the plantar pressure distribution.