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The present study focuses on the design and construction of an innovative device aimed at identifying plantar foot conditions, such as normal, cavus, and flat feet, through the analysis of biosignals. The device was based on two identification methods: the plantar footprint test and the use of a template equipped with digital and analog sensors made of Velostat paper, a material derived from graphite that allows capturing biosignals with high precision. These biosignals were integrated into an Android application, facilitating the diagnosis and appropriate treatment of plantar conditions. The key component of the device was a sensor created with graphite, which functioned as a piezoelectric sensor to acquire and measure the pressure exerted by the foot. Thanks to the sensor’s ability to capture biosignals, it was possible to accurately detect and classify plantar conditions. The device stood out for its low cost and seamless integration with the mobile application, becoming a valuable and accessible tool for the healthcare sector, with the potential to significantly improve the quality of life for patients with foot problems through early detection and timely treatment.
Cárdenas-Guaraca et al. (Mon,) studied this question.