Saccadic points classification using Multilayer Perceptron and Randon Forest classifiers in EOG recording of patients with Ataxia SCA2

Autor:	Becerra, Roberto, Joya-Caparrós, Gonzalo, García, Rodolfo, Velázque, Luis, Rodríguez, Roberto, Pino, Carmen
Rok vydání:	2013
Předmět:	Ataxia sca2 EOG signals Saccades Tecnología Multilayer perceptron Ojos - Movimiento Random forest
Zdroj:	RIUMA. Repositorio Institucional de la Universidad de Málaga instname
Popis:	In this paper, we compare the performance of two different methods for the task of electrooculogram saccadic points classification in Patients with Ataxia SCA2: Multilayer Perceptrons (MLP) and Random Forest. First we segment the recordings of 6 subjects into ranges of saccadic and non-saccadic points as the basis of supervised learning. Then, we randomly select a set of cases based on the velocity profile near each selected point for training and validation purposes using percent split scheme. Obtained results show that both methods have similar performance in classification matter, and seem to be suitable to solve theproblem of saccadic point classification in electrooculographic records from subjects with Ataxia SCA2. AECID: Agencia Española de Cooperación Internacional para el Desarrollo. Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::41071ff5c057e129b38302392ac03e04 http://hdl.handle.net/10630/6153 Zobrazit plný text záznamu