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Abstract
Una actividad electrodermica (EDA) reducida puede indicar la presencia de una neuropatía autonómica (AN) subyacente. El objetivo de este estudio fue investigar las características de la EDA y su correlación con la diabetes y la AN. A través de un test desarrollado durante la investigación, el nivel promedio de conductancia de la piel (MSCL), la respuesta promedio de la conductancia (MSCR), y la diferencia entre los valores promedio MSCL de ambos pies fueron calculados utilizando una descomposición paramétrica de la EDA basada en la estadística bayesiana y en la optimización matemática convexa. La prueba final incluyó 22 sujetos. Los participantes diabéticos fueron estratificados según su historial clínico y hábitos de cuidado, para obtener un grupo fuera de riesgo y otro en riesgo de desarrollar la AN. Se halló una diferencia estadística en las métricas de MSCR (p < 0,01) y DBF (p < 0,05) en aquellos pacientes con respecto al grupo de control. Mientras las investigaciones pasadas no incluyeron factores que pueden interferir potencialmente con la medición de la EDA, tales como el estado emocional, el grado de concentración en la tarea, y la postura corporal, el presente estudio define un protocolo para la estimulación de sujetos durante la adquisición de la EDA en una manera confiable.
A reduced electrodermal activity (EDA) may be related to autonomic neuropathy (AN). The aims of this study were to independently study the characteristics of the EDA and its correlation with diabetes and AN. During a selfdesigned test, mean skin conductance level (MSCL), mean skin conductance response (MSCR) to stimuli, and difference in MSCL between feet (DBF) were obtained through a modelbased decomposition based on Bayesian statistics and mathematical convex optimization. A group of 22 subjects were included for the final test. Diabetic patients were stratified based on their clinical history and care habits, dividing them into those out of risk and those at risk of developing AN. Statistical difference was found for the latter regarding MSCR (p < 0,01) and DBF (p < 0,05) with respect to the control group. While past research failed to address potential sources of interference with the EDA measurement, namely emotional state, degree of concentration on the task, and body posture, this study proposes a welldefined protocol to stimulate subjects and acquire proper and reliable EDA data.
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