Robot-based solution for helping Alzheimer patients

IF 2.5 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS SLAS Technology Pub Date : 2024-05-08 DOI:10.1016/j.slast.2024.100140
Mohammed Faisal , Abdullah Alharbi , Amnah Alhamadi , Sarah Almutairi , Shaikhah Alenezi , Anfal Alsulaili , Murad Khan , Faheem Khan
{"title":"Robot-based solution for helping Alzheimer patients","authors":"Mohammed Faisal ,&nbsp;Abdullah Alharbi ,&nbsp;Amnah Alhamadi ,&nbsp;Sarah Almutairi ,&nbsp;Shaikhah Alenezi ,&nbsp;Anfal Alsulaili ,&nbsp;Murad Khan ,&nbsp;Faheem Khan","doi":"10.1016/j.slast.2024.100140","DOIUrl":null,"url":null,"abstract":"<div><p>Alzheimer's is a progressive and debilitating neurological disorder characterized by cognitive decline, memory loss, and impaired daily functioning. It is an irreversible brain disease that destroys memory, thinking, and the ability to carry out daily activities. It poses significant challenges for patients and healthcare providers. Modern societies are trying to enhance the quality of people's lives, including Alzheimer's patients. In this study, we explored the potential of social robots to provide emotional support, improve cognitive function, and facilitate communication among Alzheimer's patients. This was achieved by initiating conversations on various topics such as family, relationships, and daily activities. This paper contributes to the literature by introducing a novel and well-organized framework for building an Alzheimer's care robot. Further, this study enriches the literature by introducing the Alzheimer Care Companion Robot (ACCR), designed to identify Alzheimer's patients. The ACCR initiates conversations in the native Arab-Kuwaiti dialect, displaying relevant memories through images and videos on its screen to assist in memory recall based on the individuals' life experiences. The proposed ACCR consists of 271 conversations belonging to three main categories: active, proactive, and graphical user interface (GUI) dialogs comprising 112 dialogs, 109 dialogs, and 50 dialogs for active, proactive, and GUI, respectively. The experimental result illustrated the success of the proposed solution.</p></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2472630324000220/pdfft?md5=d4e634b6d96bac2291471d7a78ce705c&pid=1-s2.0-S2472630324000220-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SLAS Technology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2472630324000220","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0

Abstract

Alzheimer's is a progressive and debilitating neurological disorder characterized by cognitive decline, memory loss, and impaired daily functioning. It is an irreversible brain disease that destroys memory, thinking, and the ability to carry out daily activities. It poses significant challenges for patients and healthcare providers. Modern societies are trying to enhance the quality of people's lives, including Alzheimer's patients. In this study, we explored the potential of social robots to provide emotional support, improve cognitive function, and facilitate communication among Alzheimer's patients. This was achieved by initiating conversations on various topics such as family, relationships, and daily activities. This paper contributes to the literature by introducing a novel and well-organized framework for building an Alzheimer's care robot. Further, this study enriches the literature by introducing the Alzheimer Care Companion Robot (ACCR), designed to identify Alzheimer's patients. The ACCR initiates conversations in the native Arab-Kuwaiti dialect, displaying relevant memories through images and videos on its screen to assist in memory recall based on the individuals' life experiences. The proposed ACCR consists of 271 conversations belonging to three main categories: active, proactive, and graphical user interface (GUI) dialogs comprising 112 dialogs, 109 dialogs, and 50 dialogs for active, proactive, and GUI, respectively. The experimental result illustrated the success of the proposed solution.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
帮助老年痴呆症患者的机器人解决方案
阿尔茨海默氏症是一种渐进性、使人衰弱的神经系统疾病,以认知能力下降、记忆力减退和日常生活能力受损为特征。它是一种不可逆转的脑部疾病,会破坏记忆、思维和进行日常活动的能力。它给患者和医疗服务提供者带来了巨大的挑战。现代社会正在努力提高人们的生活质量,包括阿尔茨海默病患者的生活质量。在这项研究中,我们探索了社交机器人为阿尔茨海默病患者提供情感支持、改善认知功能和促进交流的潜力。这是通过发起有关家庭、人际关系和日常活动等各种话题的对话来实现的。本文引入了一个新颖且组织良好的框架,用于构建阿尔茨海默氏症护理机器人,为相关文献做出了贡献。此外,本研究还介绍了阿尔茨海默病护理陪伴机器人(ACCR),旨在识别阿尔茨海默病患者,从而丰富了相关文献。ACCR 可以用阿拉伯-科威特方言进行对话,并通过屏幕上的图像和视频显示相关记忆,从而根据患者的生活经历帮助其回忆记忆。拟议的 ACCR 包含 271 个对话,分为三大类:主动对话、主动对话和图形用户界面(GUI)对话,其中主动对话 112 个,主动对话 109 个,图形用户界面对话 50 个。实验结果表明所提出的解决方案是成功的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
SLAS Technology
SLAS Technology Computer Science-Computer Science Applications
CiteScore
6.30
自引率
7.40%
发文量
47
审稿时长
106 days
期刊介绍: SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.
期刊最新文献
Management of experimental workflows in robotic cultivation platforms. Application of conjugated polymer nanocomposite materials as biosensors in rehabilitation of ankle joint injuries in martial arts sports. Identification of m6A-related lncRNAs prognostic signature for predicting immunotherapy response in cervical cancer Regional developers’ community accelerates laboratory automation Accelerating covalent binding studies: Direct mass shift measurement with acoustic ejection and TOF-MS
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1