Classification of traumatic brain injury using support vector machine analysis of event-related Tsallis entropy

Abstract

An estimated 1.4 million Americans suffer from traumatic brain injury (TBI) each year [1]. Current methods of detecting TBI, such as computerized tomography (CT), magnetic resonance imaging (MRI), and Positron Emission Tomography (PET) scanning are time-consuming and expensive [2]. Here, the viability of a potentially more cost-effective means of detecting… (More)

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