Novel Technological Solutions for Assessment, Treatment, and Assistance in Mild Cognitive Impairment.

ICT assistive technologies cognitive stimulation cognitive support technologies dementia-Alzheimer disease mild cognitive impairment neuropsychological measures social robotics/HRI

Journal

Frontiers in neuroinformatics
ISSN: 1662-5196
Titre abrégé: Front Neuroinform
Pays: Switzerland
ID NLM: 101477957

Informations de publication

Date de publication:
2019
Historique:
received: 22 01 2019
accepted: 15 07 2019
entrez: 29 8 2019
pubmed: 29 8 2019
medline: 29 8 2019
Statut: epublish

Résumé

Alzheimer's disease, and dementia, represent a common cause of disability and one of the most relevant challenges in the health world. In addition, these conditions do not have, at moment, a pharmacological treatment that can stop the pathological progress. Mild cognitive impairment (MCI), defined as the borderline between normal aging and early dementia, represents a meaningful field of study because, in the transition to dementia, clinicians have defined a useful therapeutic window. Additionally, due to the lack of effective pharmacological interventions, recent years have seen an increase in research into new technological solutions to assess, stimulate, and assist patients afflicted with Alzheimer's disease. This review aims to outline the use of information and communication technologies in the field studying MCI. Particularly, the goal is to depict the framework and describe the most worthwhile research efforts, in order to display the current technologies available, describe the research objectives, and delineate prospective future researches. Regarding data sources, the research was conducted within three databases, PubMed Central, Web of Science, and Scopus, between January 2009 and December 2017. A total of 646 articles were found in the initial search. Accurate definition of the exclusion criteria and selection strategy allowed identification of the most relevant papers to use for the study. Finally, 56 papers were fully evaluated and included in this review. Three major clinical application areas have been portrayed, namely "Cognitive Assessment," "Treatment," and "Assistance." These have been combined with three main technological solutions, specifically "Sensors," "Personal Devices," and "Robots." Furthermore, the study of the publications time series illustrates a steadily increasing trend, characterized by the enrollment of small groups of subjects, and particularly oriented to the subjects assistance using robots companion. In conclusion, despite the new technological solutions for people with MCI have received much interest, particularly regarding robots for assistance, nowadays it still owns vast room for improvement.

Identifiants

pubmed: 31456679
doi: 10.3389/fninf.2019.00058
pmc: PMC6700331
doi:

Types de publication

Systematic Review

Langues

eng

Pagination

58

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Auteurs

Gianmaria Mancioppi (G)

The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.

Laura Fiorini (L)

The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.

Marco Timpano Sportiello (M)

Laboratory of Neuropsychology, USL Nordovest Toscana, Pisa, Italy.

Filippo Cavallo (F)

The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.

Classifications MeSH