Mancioppi Gianmaria, Fiorini Laura, Timpano Sportiello Marco, Cavallo Filippo
The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Laboratory of Neuropsychology, USL Nordovest Toscana, Pisa, Italy.
Front Neuroinform. 2019 Aug 13;13:58. doi: 10.3389/fninf.2019.00058. eCollection 2019.
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.
阿尔茨海默病和痴呆症是导致残疾的常见原因,也是医疗卫生领域最严峻的挑战之一。此外,目前尚无能够阻止其病理进展的药物治疗方法。轻度认知障碍(MCI)被定义为正常衰老与早期痴呆之间的临界状态,是一个具有重要意义的研究领域,因为在向痴呆症转变的过程中,临床医生已经确定了一个有用的治疗窗口期。此外,由于缺乏有效的药物干预措施,近年来对评估、刺激和辅助阿尔茨海默病患者的新技术解决方案的研究有所增加。本综述旨在概述信息通信技术在MCI研究领域的应用。具体而言,目标是描绘该框架并描述最有价值的研究工作,以展示当前可用的技术,描述研究目标,并勾勒未来的前瞻性研究。关于数据来源,研究在2009年1月至2017年12月期间在三个数据库(PubMed Central、科学网和Scopus)中进行。初步搜索共找到646篇文章。准确界定排除标准和选择策略,从而确定了用于该研究的最相关论文。最后,对56篇论文进行了全面评估并纳入本综述。描绘了三个主要的临床应用领域,即“认知评估”、“治疗”和“辅助”。这些领域与三种主要技术解决方案相结合,具体为“传感器”、“个人设备”和“机器人”。此外,对出版物时间序列的研究表明,该领域呈稳步上升趋势,其特点是纳入的受试者群体较小,且特别侧重于使用机器人伴侣对受试者进行辅助。总之,尽管针对MCI患者的新技术解决方案备受关注,尤其是用于辅助的机器人,但目前仍有很大的改进空间。