About: A New Modality for Quantitative Evaluation of Parkinson's Disease: In-Air Movement

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: A New Modality for Quantitative Evaluation of Parkinson's Disease: In-Air Movement Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Parkinsons disease (PD) is neurodegenerative disorder with very high prevalence rate occurring mainly among elderly. One of the most typical symptoms of PD is deterioration of handwriting that is usually the first manifestation of Parkinsons disease. In this study, a new modality - in-air trajectory during handwriting - is proposed to efficiently diagnose PD. Experimental results showed that analysis of in-air trajectories is capable of assessing subtle motor abnormalities that are connected with PD. Moreover, conjunction of in-air trajectories with conventional on-surface handwriting allows us to build predictive model with PD classification accuracy over 80%. In total, we compute over 600 handwriting features. Then, we select smaller subset of these features using two feature selection algorithms: Mann-Whitney U-test filter and relief algorithm, and map these feature subsets to binary classification response using support vector machines. Parkinsons disease (PD) is neurodegenerative disorder with very high prevalence rate occurring mainly among elderly. One of the most typical symptoms of PD is deterioration of handwriting that is usually the first manifestation of Parkinsons disease. In this study, a new modality - in-air trajectory during handwriting - is proposed to efficiently diagnose PD. Experimental results showed that analysis of in-air trajectories is capable of assessing subtle motor abnormalities that are connected with PD. Moreover, conjunction of in-air trajectories with conventional on-surface handwriting allows us to build predictive model with PD classification accuracy over 80%. In total, we compute over 600 handwriting features. Then, we select smaller subset of these features using two feature selection algorithms: Mann-Whitney U-test filter and relief algorithm, and map these feature subsets to binary classification response using support vector machines. (en)
Title	A New Modality for Quantitative Evaluation of Parkinson's Disease: In-Air Movement A New Modality for Quantitative Evaluation of Parkinson's Disease: In-Air Movement (en)
skos:prefLabel	A New Modality for Quantitative Evaluation of Parkinson's Disease: In-Air Movement A New Modality for Quantitative Evaluation of Parkinson's Disease: In-Air Movement (en)
skos:notation	RIV/00216305:26220/13:PU109976!RIV15-MV0-26220___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(ED2.1.00/03.0072), P(GAP102/12/1104), P(VG20102014033)
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Smékal, Zdeněk Mekyska, Jiří Drotár, Peter
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta elektrotechniky a komunikačních technologií
http://linked.open...dnocenehoVysledku	58829
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/13:PU109976
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	handwriting (en)
http://linked.open.../riv/klicoveSlovo	handwriting
http://linked.open...ontrolniKodProRIV	[B710559DB8A2]
http://linked.open...v/mistoKonaniAkce	Chania
http://linked.open...i/riv/mistoVydani	NEW YORK, NY 10017 USA
http://linked.open...i/riv/nazevZdroje	2013 IEEE 13TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING (BIBE)
http://linked.open...in/vavai/riv/obor	JA
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	6 (xsd:int)
http://linked.open...vavai/riv/projekt	Centre of sensor, information and communication systems Study of metabolism and localization of high grade glioma using MR imaging techniques Improvement of risk area security using combined methods for biometrical identification of subjects
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Rektorová, Irena Smékal, Zdeněk Faúndez Zanuy, Marcos Mekyska, Jiří Drotár, Peter Masarová, Lucia
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open...ain/vavai/riv/wos	000335217700166
http://linked.open.../riv/zahajeniAkce	2013-11-10 (xsd:date)
number of pages	4 (xsd:int)
http://bibframe.org/vocab/doi	10.1109/BIBE.2013.6701692
http://purl.org/ne...btex#hasPublisher	IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
https://schema.org/isbn	978-1-4799-3163-7
http://localhost/t...ganizacniJednotka	26220

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 48 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software