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In this paper, we proposed the multiclass support vector machine (SVM) with the error-correcting output codes for the multiclass electroencephalogram (EEG) signals classification problem. The probabilistic neural network (PNN) and multilayer perceptron neural network were also tested and benchmarked for their performance on the classification of the EEG signals. Decision making was performed in two...
In order to evaluate the feasibility of a device scoring classes of hemorrhagic shock, a multivariate analysis of physiological data collected on swine enduring continuous blood loss was conducted. Raw data sampled at up to 500 Hz were first preprocessed and used for features extraction over period of 1 mm. An expert scored all these physiological features, into one of the four classes of hemorrhagic...
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