Technologies for monitoring patients with Alzheimer’s disease: A systematic mapping study and taxonomy

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Savanna Denega Machado, João Elison da Rosa Tavares, Jorge Luis Victória Barbosa
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Abstract

Alzheimer’s Disease (AD) is an incurable disease and a type of dementia. About 55 million people around the world have AD. However, technologies have been used to assist in the healthcare of AD, supporting physicians in the palliative care of patients. This article presents a systematic mapping study (SMS) to identify articles that use technologies to monitor patients with AD in order to show an overview of the literature, identifying gaps and research opportunities in this field. The scientific contribution of this work is to identify monitoring technologies related to AD and highlight current trends on the subject. The paper uses the term technologies as hardware infrastructure and devices or systems without considering software technologies. In addition, this article proposes a taxonomy for the domain of technologies applied to AD patients. The SMS study was conducted in six databases, including articles from 1997 to 2021. An initial search resulted in 7,781 articles. After applying filter criteria, throwing automatic selection on databases, and manual assortment, 171 articles were selected. Subsequently, a second search was performed to reduce the list of articles and filter by the specific search objective of articles focused on technologies for monitoring with tracking, resulting in 74 works. The main results obtained are: (1) a relevant number of articles (43.42%) reported solutions used in sensor-based devices; (2) several works (33.33%) have the interaction focus on Position/Distance/Proximity/Location sensor type; (3) another group of articles has a secondary focus on Emergency help (18.97%). The results indicated the need for technologies to help caregivers monitor patients, in addition to evidence of research opportunities in palliative care and support for the daily activities of AD patients.
监测阿尔茨海默病患者的技术:系统制图研究和分类法
阿尔茨海默病(AD)是一种无法治愈的疾病,也是痴呆症的一种。全世界约有 5500 万人患有阿尔茨海默病。然而,技术已被用于辅助阿尔茨海默病的医疗保健,支持医生对患者进行姑息治疗。本文介绍了一项系统性绘图研究(SMS),旨在确定使用技术监测注意力缺失症患者的文章,以展示文献概览,找出该领域的差距和研究机会。这项工作的科学贡献在于识别与注意力缺失症相关的监测技术,并突出强调该主题的当前趋势。本文使用的技术一词是指硬件基础设施和设备或系统,而不考虑软件技术。此外,本文还为应用于注意力缺失症患者的技术领域提出了一个分类标准。SMS 研究在六个数据库中进行,包括从 1997 年到 2021 年的文章。初步搜索结果为 7781 篇文章。在应用过滤标准、对数据库进行自动选择和手动分类后,选出了 171 篇文章。随后,进行了第二次搜索,以减少文章列表,并根据特定的搜索目标进行筛选,筛选出 74 篇侧重于跟踪监测技术的文章。主要结果如下(1) 相当数量的文章(43.42%)报告了基于传感器的设备所使用的解决方案;(2) 一些作品(33.33%)的交互重点是位置/距离/接近/定位传感器类型;(3) 另一组文章的次要重点是紧急求助(18.97%)。研究结果表明,除了姑息治疗和支持注意力缺失症患者日常活动的研究机会外,还需要技术来帮助护理人员监控患者。
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来源期刊
Journal of Ambient Intelligence and Smart Environments
Journal of Ambient Intelligence and Smart Environments COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
4.30
自引率
17.60%
发文量
23
审稿时长
>12 weeks
期刊介绍: The Journal of Ambient Intelligence and Smart Environments (JAISE) serves as a forum to discuss the latest developments on Ambient Intelligence (AmI) and Smart Environments (SmE). Given the multi-disciplinary nature of the areas involved, the journal aims to promote participation from several different communities covering topics ranging from enabling technologies such as multi-modal sensing and vision processing, to algorithmic aspects in interpretive and reasoning domains, to application-oriented efforts in human-centered services, as well as contributions from the fields of robotics, networking, HCI, mobile, collaborative and pervasive computing. This diversity stems from the fact that smart environments can be defined with a variety of different characteristics based on the applications they serve, their interaction models with humans, the practical system design aspects, as well as the multi-faceted conceptual and algorithmic considerations that would enable them to operate seamlessly and unobtrusively. The Journal of Ambient Intelligence and Smart Environments will focus on both the technical and application aspects of these.
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