The study aims to assess and quantify the discriminate parameters of\nbalance among patients affected by vestibular dysfunction. Several data were obtained\nusing the Satel force plate. A total of 14 patients participated in the study. The postural\nstrategies were studied from the trajectory of the Center Of Pressure (COP), in standing\nposition and under the cognitive ââ?¬Å?open eyes (Cognitive-Task-Free - CTF)ââ?¬â?¢Ã¢â?¬â?¢ and ââ?¬Å?open eyes\nwith a cognitive task (Cognitive-Task-Active -CTA)ââ?¬â?¢Ã¢â?¬â?¢. Experimental data were used for\ntraining of the intelligent soft computing scheme Support Vector Regression (SVR). In the\npresent study, the polynomial and Radial Basis Functions (RBF) were applied as the SVR\nkernel function to predict the two cognitive positions. Performance of the proposed\nestimators was confirmed through the simulation results. According to our findings, a\ngreater improvement in accuracy estimation can be achieved through the SVR with radial\nbasis function compared to SVR with polynomial basis function. The SVR coefficient of\ndetermination (R2) with radial basis function was found to be equal to 0.8613, while R2 with\nthe polynomial basis function was equal to 0.6437.
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