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Efficiency and Effectiveness Metrics in Evolutionary Algorithms and Their Application Read chapter Read first chapter

2015 | OriginalPaper | Chapter

A P300 Clustering of Mild Cognitive Impairment Patients Stimulated in an Immersive Virtual Reality Scenario

Authors : Vitoantonio Bevilacqua, Antonio Brunetti, Davide de Biase, Giacomo Tattoli, Rosario Santoro, Gianpaolo Francesco Trotta, Fabio Cassano, Michele Pantaleo, Giuseppe Mastronardi, Fabio Ivona, Marianna Delussi, Anna Montemurno, Katia Ricci, Marina de Tommaso

Published in: Intelligent Computing Theories and Methodologies

Publisher: Springer International Publishing

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Abstract

In this paper, we present an innovative framework useful for clustering patients affected by a mild cognitive impairment and designed to improve the living environment and the lifestyle of patients in order to delay their cognitive state decline. The cognitive state changes are evaluated by means the event - related potentials elicited by environmental stimuli administered in several Virtual Reality scenarios. In particular, we formerly describe our innovative Virtual Reality environment, the protocol of stimuli administration, the procedure to measure the P300 latency in the response signal and finally the Self Organizing Map used to cluster the data. This research finds application in the fields of re-qualification of the environments for patients and healthcare introducing a new method for evaluation of best living conditions through VR.

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Metadata
Title
A P300 Clustering of Mild Cognitive Impairment Patients Stimulated in an Immersive Virtual Reality Scenario
Authors
Vitoantonio Bevilacqua
Antonio Brunetti
Davide de Biase
Giacomo Tattoli
Rosario Santoro
Gianpaolo Francesco Trotta
Fabio Cassano
Michele Pantaleo
Giuseppe Mastronardi
Fabio Ivona
Marianna Delussi
Anna Montemurno
Katia Ricci
Marina de Tommaso
Copyright Year
2015
Book
Intelligent Computing Theories and Methodologies

Print ISBN: 978-3-319-22185-4

Electronic ISBN: 978-3-319-22186-1

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-22186-1_23

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