eprintid: 7562
rev_number: 21
eprint_status: archive
userid: 1903
dir: disk0/00/00/75/62
datestamp: 2011-06-21 11:45:10
lastmod: 2016-04-20 16:40:32
status_changed: 2011-06-21 11:45:10
type: conference_item
metadata_visibility: show
item_issues_count: 0
creators_name: Lara Torralbo, Juan Alfonso
creators_name: Jahankhani, Pari
creators_name: Pérez Pérez, Aurora
creators_name: Caraça-Valente Hernández, Juan Pedro
creators_name: Kodogiannis, Vassilis
title: Classification of Stabilometric Time-Series Using an Adaptive Fuzzy Inference Neural Network System
ispublished: pub
subjects: informatica
subjects: medicina
abstract: Stabilometry is a branch of medicine that studies balance-related human functions. The analysis of stabilometric-generated time series can be very useful to the diagnosis and treatment balance-related dysfunctions such as dizziness. In stabilometry, the key nuggets of information in a time series signal are concentrated within definite time periods known as events. In this study, a feature extraction scheme has been developed to identify and characterise the events. The proposed scheme utilises a statistical method that goes through the whole time series from the start to the end, looking for the conditions that define events, according to the experts¿ criteria. Based on these extracted features, an Adaptive Fuzzy Inference Neural Network (AFINN) has been applied for the classification of stabilometric signals. The experimental results validated the proposed methodology.
date: 2010-06
date_type: published
publisher: Springer Verlag
official_url: http://www.springerlink.com/content/u191762207003q56/
full_text_status: public
pres_type: paper
volume: 6113
place_of_pub: Berlin, Alemania
event_title: 10th International Conference, ICAISC 2010
event_location: Zakopane, Polonia
event_dates: 13/06/2010 - 17/06/2010
event_type: conference
institution: Informatica
department: Lenguajes
refereed: TRUE
isbn: 978-3-642-13207-0
book_title: Proceedings of the 10th International Conference, ICAISC 2010
rights: by-nc-nd
citation:   Lara Torralbo, Juan Alfonso and Jahankhani, Pari and Pérez Pérez, Aurora and Caraça-Valente Hernández, Juan Pedro and Kodogiannis, Vassilis  (2010).  Classification of Stabilometric Time-Series Using an Adaptive Fuzzy Inference Neural Network System.  In: "10th International Conference, ICAISC 2010", 13/06/2010 - 17/06/2010, Zakopane, Polonia. ISBN 978-3-642-13207-0.    
document_url: https://oa.upm.es/7562/1/INVE_MEM_2010_79879.pdf