Novel Technological Solutions for Assessment, Treatment, and Assistance in Mild Cognitive Impairment
| Autor: | Laura Fiorini, Francesca Romana Cavallo, Marco Timpano Sportiello, Gianmaria Mancioppi |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
neuropsychological measures
Applied psychology Biomedical Engineering Neuroscience (miscellaneous) Scopus cognitive stimulation Disease assistive technologies cognitive support technologies dementia-Alzheimer disease ICT mild cognitive impairment social robotics/HRI 050105 experimental psychology Field (computer science) lcsh:RC321-571 03 medical and health sciences 0302 clinical medicine medicine Dementia 0501 psychology and cognitive sciences Cognitive impairment lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry 05 social sciences medicine.disease Computer Science Applications Identification (information) Common cause and special cause Information and Communications Technology Systematic Review Psychology 030217 neurology & neurosurgery Neuroscience |
| Zdroj: | Frontiers in Neuroinformatics, Vol 13 (2019) Frontiers in Neuroinformatics |
| ISSN: | 1662-5196 |
| DOI: | 10.3389/fninf.2019.00058 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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