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Dataset Information

Tinnitus and distress: an electroencephalography classification study.


ABSTRACT: There exist no objective markers for tinnitus or tinnitus disorders, which complicates diagnosis and treatments. The combination of EEG with sophisticated classification procedures may reveal biomarkers that can identify tinnitus and accurately differentiate different levels of distress experienced by patients. EEG recordings were obtained from 129 tinnitus patients and 142 healthy controls. Linear support vector machines were used to develop two classifiers: the first differentiated tinnitus patients from controls, while the second differentiated tinnitus patients with low and high distress levels. The classifier for healthy controls and tinnitus patients performed with an average accuracy of 96 and 94% for the training and test sets, respectively. For the distress classifier, these avera

SUBMITTER: Piarulli A 

PROVIDER: S-EPMC9927883 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature