Visual Sequential Search Test Analysis: An Algorithmic Approach

In this work we present an algorithmic approach to the analysis of the Visual Sequential Search Test (VSST) based on the episode matching method. The data set included two groups of patients, one with Parkinson’s disease, and another with chronic pain syndrome, along with a control group. The VSST i...

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Autores principales:	Giuseppe Alessio D’Inverno, Sara Brunetti, Maria Lucia Sampoli, Dafin Fior Muresanu, Alessandra Rufa, Monica Bianchini
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	visual sequential search test episode matching trail making test sequence alignment alignment score Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/8288b5c62db34d63b0ca9db2aa47aa2a
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id	oai:doaj.org-article:8288b5c62db34d63b0ca9db2aa47aa2a
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spelling	oai:doaj.org-article:8288b5c62db34d63b0ca9db2aa47aa2a2021-11-25T18:17:29ZVisual Sequential Search Test Analysis: An Algorithmic Approach10.3390/math92229522227-7390https://doaj.org/article/8288b5c62db34d63b0ca9db2aa47aa2a2021-11-01T00:00:00Zhttps://www.mdpi.com/2227-7390/9/22/2952https://doaj.org/toc/2227-7390In this work we present an algorithmic approach to the analysis of the Visual Sequential Search Test (VSST) based on the episode matching method. The data set included two groups of patients, one with Parkinson’s disease, and another with chronic pain syndrome, along with a control group. The VSST is an eye-tracking modified version of the Trail Making Test (TMT) which evaluates high order cognitive functions. The episode matching method is traditionally used in bioinformatics applications. Here it is used in a different context which helps us to assign a score to a set of patients, under a specific VSST task to perform. Experimental results provide statistical evidence of the different behaviour among different classes of patients, according to different pathologies.Giuseppe Alessio D’InvernoSara BrunettiMaria Lucia SampoliDafin Fior MuresanuAlessandra RufaMonica BianchiniMDPI AGarticlevisual sequential search testepisode matchingtrail making testsequence alignmentalignment scoreMathematicsQA1-939ENMathematics, Vol 9, Iss 2952, p 2952 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	visual sequential search test episode matching trail making test sequence alignment alignment score Mathematics QA1-939
spellingShingle	visual sequential search test episode matching trail making test sequence alignment alignment score Mathematics QA1-939 Giuseppe Alessio D’Inverno Sara Brunetti Maria Lucia Sampoli Dafin Fior Muresanu Alessandra Rufa Monica Bianchini Visual Sequential Search Test Analysis: An Algorithmic Approach
description	In this work we present an algorithmic approach to the analysis of the Visual Sequential Search Test (VSST) based on the episode matching method. The data set included two groups of patients, one with Parkinson’s disease, and another with chronic pain syndrome, along with a control group. The VSST is an eye-tracking modified version of the Trail Making Test (TMT) which evaluates high order cognitive functions. The episode matching method is traditionally used in bioinformatics applications. Here it is used in a different context which helps us to assign a score to a set of patients, under a specific VSST task to perform. Experimental results provide statistical evidence of the different behaviour among different classes of patients, according to different pathologies.
format	article
author	Giuseppe Alessio D’Inverno Sara Brunetti Maria Lucia Sampoli Dafin Fior Muresanu Alessandra Rufa Monica Bianchini
author_facet	Giuseppe Alessio D’Inverno Sara Brunetti Maria Lucia Sampoli Dafin Fior Muresanu Alessandra Rufa Monica Bianchini
author_sort	Giuseppe Alessio D’Inverno
title	Visual Sequential Search Test Analysis: An Algorithmic Approach
title_short	Visual Sequential Search Test Analysis: An Algorithmic Approach
title_full	Visual Sequential Search Test Analysis: An Algorithmic Approach
title_fullStr	Visual Sequential Search Test Analysis: An Algorithmic Approach
title_full_unstemmed	Visual Sequential Search Test Analysis: An Algorithmic Approach
title_sort	visual sequential search test analysis: an algorithmic approach
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/8288b5c62db34d63b0ca9db2aa47aa2a
work_keys_str_mv	AT giuseppealessiodinverno visualsequentialsearchtestanalysisanalgorithmicapproach AT sarabrunetti visualsequentialsearchtestanalysisanalgorithmicapproach AT marialuciasampoli visualsequentialsearchtestanalysisanalgorithmicapproach AT dafinfiormuresanu visualsequentialsearchtestanalysisanalgorithmicapproach AT alessandrarufa visualsequentialsearchtestanalysisanalgorithmicapproach AT monicabianchini visualsequentialsearchtestanalysisanalgorithmicapproach
_version_	1718411392188416000

Visual Sequential Search Test Analysis: An Algorithmic Approach

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