Ontology highlight
ABSTRACT:
SUBMITTER: Sciaraffa N
PROVIDER: S-EPMC7226084 | biostudies-literature | 2020 Apr
REPOSITORIES: biostudies-literature
Sciaraffa Nicolina N Klados Manousos A MA Borghini Gianluca G Di Flumeri Gianluca G Babiloni Fabio F Aricò Pietro P
Brain sciences 20200408 4
The need for automatic detection and classification of high-frequency oscillations (HFOs) as biomarkers of the epileptogenic tissue is strongly felt in the clinical field. In this context, the employment of artificial intelligence methods could be the missing piece to achieve this goal. This work proposed a double-step procedure based on machine learning algorithms and tested it on an intracranial electroencephalogram (iEEG) dataset available online. The first step aimed to define the optimal le ...[more]