Evaluation of nonlinear analysis methods in electroencephalographic signals in the...
| Grant number: | 19/13512-6 |
| Support type: | Scholarships in Brazil - Scientific Initiation |
| Effective date (Start): | August 01, 2019 |
| Effective date (End): | July 31, 2020 |
| Field of knowledge: | Physical Sciences and Mathematics - Physics |
| Principal Investigator: | Gabriela Castellano |
| Grantee: | Thiago Henrique de Camargo Julio |
| Home Institution: | Instituto de Física Gleb Wataghin (IFGW). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil |
| Associated research grant: | 13/07559-3 - BRAINN - The Brazilian Institute of Neuroscience and Neurotechnology, AP.CEPID |
Abstract Electroencephalography (EEG) is the gold standard exam for diagnosing epilepsy. Usually, a trained neurologist examines the EEG exam, searching for specific patterns that characterize this condition. However, nowadays most EEG exams are digital, and can be easily processed and analyzed using computer methods, ranging from standard digital signal processing to the newest machine learning methods. Here we propose an exploratory study, in which the aim is to analyze data from epilepsy patients using standard signal processing methods, and, eventually, more sophisticated methods, in an attempt to extract meaningful information that has not yet been explored be the scientific community of this field. The study also aims to provide knowledge on these methods to the student, as well as in the field of physics applied to neuroscience. The project will be developed under the FAPESP RIDC "Brazilian Institute of Neuroscience and Neurotechnology" (BRAINN). | |