Parametrización de la marcha humana usando un traje en extremidades inferiores para generar la referencia del control cinemático de una prótesis.

Abstract

The analysis of human gait is a fundamental part today in the correlation where there can be alterations in the different body systems. Over time, researchers have aroused their interest in determining the particular parameters of the gait pattern in specific pathologies; one of them is to diagnose in the loss of lower extremities. Therefore, the main objective of this research is to obtain parameters of human gait using a suit on the lower extremities to generate the kinematic control reference for a lower prosthesis. A sensorized suit was designed and implemented in order to analyze human gait. Thus, the movements of the two lower extremities of a healthy person were related, in order to generate kinematic control that reflects a more natural movement in patients using prostheses; using sensors located in the suit in the main joints and in this way it was possible to detect the movements of the patient's lower extremities. For data collection, it was performed using a development card to guarantee patient mobility. Once the movements were obtained, an intelligent system was used by means of RNA using Generalized Regression (GRNN); In this sense, a hit efficiency greater than 90% was obtained, where this network manages to be very efficient and light since it contains a smooth radial basis function. Finally, it was thus possible to generate the kinematic control references for a prosthesis based on the signals from the opposite lower extremity of the healthy leg.