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In this study we have investigated the classification of old myocardial infarction through the analysis of 192 lead body surface potential maps (BSPM). Following an analysis of the most prominent features based on a signal to noise ratio ranking criterion the top 6 features were selected. These features were subsequently used as inputs to a series of supervised classification models in the form of...
Human heart failure is a complex syndrome that can be initiated by a variety of clinical conditions and genetic factors. Gene expression profiling offers opportunities to study changes in transcriptional activity in heart failure samples of different etiologies. This paper evaluates machine and statistical learning models for supporting the identification of heart failure etiology based on gene expression...
An auditory vigilance task (AVT) as a validation criterion for monitoring mental fatigue was proposed in this study. The biological basis of this task design is on the understanding that mental fatigue is a cortical deactivation. This AVT is simple to perform, free of learning curve and independent on acquired skills (aptitude, knowledge). The validity and sensitivity of this task was verified by...
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