SCH: INT: Collaborative Research: Behavioral and Environmental Sensing and Intervention for Dementia Caregiver Empowerment
SCH:INT:合作研究:行为和环境感知以及痴呆症护理人员赋权干预
基本信息
- 批准号:1418622
- 负责人:
- 金额:$ 159.2万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-09-01 至 2020-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Caregiver burden, stress, and depression resulting from agitation exhibited by some people with dementia (PWD) are the primary reasons cited for PWD transitioning from aging-in-place to long-term care facilities. Non-pharmacological interventions provided by caregivers (e.g., distraction, providing rest, calming the environment, speaking softly, gentle touch, favorite music selections, etc.) can reduce the frequency and severity of agitation in PWD. However, agitation can be unpredictable and influenced by the environment, and early signs of agitation often go undetected and can escalate to aggressive agitation that is more difficult to manage. As a result, most methods used to deal with agitation in dementia are reactive rather than proactive and are administered too late in an agitation escalation to be effective. A tool to predict agitation episodes and detect early stages of agitation would empower caregivers to intervene early and ultimately reduce agitation, thus reducing caregiver burden and extending aging-in-place and the associated quality-of-life and cost benefits. This caregiver empowerment based strategy to PWD care could have a significant impact on the ability of PWD to age-in-place. Community outreach efforts will be conducted that engage PWD and their caregivers throughout the project, and the resulting knowledge products can be disseminated to a range of stakeholders across various sociocultural ecosystems, from researchers to family members and respite providers. The project rests on the practice of universal access, demonstrating a design that is beneficial to and accessible by the broadest range of user groups. This project will also establish a framework for a collaborative approach between engineers, clinicians, and the caregiving community to address critical healthcare needs, which will be the basis of new course modules and conference workshops.This project will overcome the fundamental scientific barriers to realizing such a tool with a three-phase research plan to employ Behavioral and Environmental Sensing and Intervention. First, a system of body-worn and in-home sensors will be developed to provide continuous, non-invasive agitation assessment and environmental context monitoring. Second, this system will be deployed in the homes of community-dwelling PWD to model the relationship between agitation and the environment and to identify features of early-stage agitation, both of which will inform the development of real-time caregiver notification strategies. Third, proof-of-concept for will be demonstrated through a human subject pilot study, with caregivers receiving real-time notifications to alter the environment in advance of probable agitation episodes and to administer PWD interventions in the early stages of agitation. Successful completion of this 3-phase project will motivate a follow-up large-scale proof-of-practice study.The investigative team combines expertise in technology function (computer engineering), accessibility (human centered design), and applicability (medical research and clinical care) to address fundamental challenges of multimodal sensing system-of-systems, modeling cyber-socio-physical system dynamics, and real-time notifications - all within the context of a critical societal need. Diverse sensor streams will be aggregated by fusing assorted data types across multiple time scales, aggregated data will be analyzed using novel agitation assessment and environmental characterization methods, extracted information will be used to develop dynamic system models, and customized automated notifications will empower caregivers to intervene before agitation escalation - all while meeting real-time intervention requirements. These models will be PWD-caregiver dyad specific, requiring dynamic in-situ training, and will present new ontologies for cyber-socio-physical systems that incorporate contexts, technologies, and social dyads to predict and mitigate disruptive neurological events. Ontologies for complex systems interventions in dementia do not yet exist but will emerge from the exploratory, integrative, and analytical efforts of this project team.For further information on this project, see the project web site: http://wirelesshealth.virginia.edu/content/BESI
照顾者的负担,压力和抑郁症所表现出的一些人与痴呆症(PWD)的激动是PWD从老化的地方过渡到长期护理设施引用的主要原因。护理人员提供的非药物干预(例如,分散注意力,提供休息,使环境平静,轻声说话,温柔的触摸,最喜欢的音乐选择等)可以降低PWD患者躁动的频率和严重程度。然而,激动可能是不可预测的,并受到环境的影响,激动的早期迹象通常未被发现,并可能升级为更难管理的攻击性激动。因此,大多数用于处理痴呆症中激越的方法都是反应性的,而不是主动的,并且在激越升级时给药太晚而无效。一种预测激越发作和检测早期激越阶段的工具将使护理人员能够早期干预并最终减少激越,从而减轻护理人员的负担并延长原地老化以及相关的生活质量和成本效益。这照顾者赋权为基础的战略,以残疾人护理可能会有显着的影响,残疾人的能力,年龄在地方。将开展社区外联工作,在整个项目期间让残疾人及其护理人员参与,由此产生的知识产品可以传播给各种社会文化生态系统的一系列利益攸关方,从研究人员到家庭成员和喘息提供者。该项目立足于普遍获取的做法,展示了一种有益于最广泛的用户群体并使其能够获取的设计。该项目还将为工程师、临床医生和康复社区之间的合作建立一个框架,以满足关键的医疗保健需求,这将是新课程模块和会议研讨会的基础。该项目将通过三阶段研究计划克服实现这种工具的基本科学障碍,采用行为和环境感知和干预。首先,将开发一个身体佩戴和家庭传感器系统,以提供连续的、非侵入性的躁动评估和环境背景监测。其次,该系统将部署在社区居住的残疾人的家中,以模拟躁动和环境之间的关系,并确定早期躁动的特征,这两者都将为实时护理人员通知策略的发展提供信息。第三,将通过人类受试者试点研究证明概念验证,护理人员将收到实时通知,以在可能的躁动发作之前改变环境,并在躁动的早期阶段进行PWD干预。这个三阶段项目的成功完成将推动后续的大规模实践证明研究。调查团队结合了技术功能方面的专业知识(计算机工程),无障碍(以人为本的设计)和适用性(医学研究和临床护理),以解决多模式传感系统的系统,建模网络社会物理系统动态,和实时通知--所有这些都是在关键的社会需求背景下实现的。将通过融合多个时间尺度上的各种数据类型来聚合不同的传感器流,聚合的数据将使用新的激动评估和环境表征方法进行分析,提取的信息将用于开发动态系统模型,定制的自动通知将使护理人员能够在激动升级之前进行干预-同时满足实时干预要求。这些模型将是PWD护理人员二元体特定的,需要动态的原位培训,并将为网络社会物理系统提供新的本体,这些系统将背景,技术和社会二元体结合起来,以预测和减轻破坏性神经事件。痴呆症复杂系统干预的本体论尚不存在,但将通过本项目团队的探索、整合和分析努力而出现。有关本项目的更多信息,请参见项目网站:http://wirelesshealth.virginia.edu/content/BESI
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Homa Alemzadeh其他文献
Towards Developing Safety Assurance Cases for Learning-Enabled Medical Cyber-Physical Systems
为学习型医疗网络物理系统开发安全保证案例
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Maryam Bagheri;Josephine Lamp;Xugui Zhou;Lu Feng;Homa Alemzadeh - 通讯作者:
Homa Alemzadeh
Homa Alemzadeh的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Homa Alemzadeh', 18)}}的其他基金
NSF Student Travel Grant for the 52nd IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2022)
NSF 学生旅费资助第 52 届 IEEE/IFIP 国际可靠系统和网络会议 (DSN 2022)
- 批准号:
2226198 - 财政年份:2022
- 资助金额:
$ 159.2万 - 项目类别:
Standard Grant
CAREER: Context-Aware Runtime Safety Assurance in Medical Human-Cyber-Physical Systems
职业:医疗人体网络物理系统中的上下文感知运行时安全保证
- 批准号:
2146295 - 财政年份:2022
- 资助金额:
$ 159.2万 - 项目类别:
Continuing Grant
NSF Student Travel Grant for the 49th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2019)
NSF 学生旅费资助第 49 届 IEEE/IFIP 国际可靠系统和网络会议 (DSN 2019)
- 批准号:
1928306 - 财政年份:2019
- 资助金额:
$ 159.2万 - 项目类别:
Standard Grant
EAGER: Implantable Medical Device and Body Area Networks: A System Resilience by Construction
EAGER:植入式医疗设备和身体区域网络:通过构建实现系统弹性
- 批准号:
1748737 - 财政年份:2017
- 资助金额:
$ 159.2万 - 项目类别:
Standard Grant
相似国自然基金
内源性逆转录病毒MER65-int调控人类胎
盘发育与子宫内膜重塑的功能研究
- 批准号:
- 批准年份:2025
- 资助金额:10.0 万元
- 项目类别:省市级项目
隐秘重组信号序列INT-RSS在T细胞受体基因Tcra重排中的功能和机制研究
- 批准号:32370939
- 批准年份:2023
- 资助金额:50 万元
- 项目类别:面上项目
HPV16 E7 通过 Int1 蛋白调控 Wnt 信号通路调节肿瘤局部树突状细胞活性
- 批准号:LQ22H160033
- 批准年份:2021
- 资助金额:0.0 万元
- 项目类别:省市级项目
选择性PPARγ激动剂INT131调控适应性产热和AD-MSCs分化成棕色样脂肪细胞的机制研究
- 批准号:81903680
- 批准年份:2019
- 资助金额:20.0 万元
- 项目类别:青年科学基金项目
INT复合物调节U snRNA 3'加工的结构基础
- 批准号:31800624
- 批准年份:2018
- 资助金额:28.0 万元
- 项目类别:青年科学基金项目
沉默Int6基因的骨髓间充质干细胞复合生物支架构建血管化腹股沟疝补片及其促补片血管化机制
- 批准号:81371698
- 批准年份:2013
- 资助金额:70.0 万元
- 项目类别:面上项目
HIF/Int6调控迟发型EPC体外增殖的机制及其治疗重度子痫前期的可行性
- 批准号:81100439
- 批准年份:2011
- 资助金额:22.0 万元
- 项目类别:青年科学基金项目
相似海外基金
SCH: INT: Collaborative Research: An Intelligent Pervasive Augmented reaLity therapy (iPAL) for Opioid Use Disorder and Recovery
SCH:INT:合作研究:针对阿片类药物使用障碍和恢复的智能普遍增强现实疗法 (iPAL)
- 批准号:
2343183 - 财政年份:2023
- 资助金额:
$ 159.2万 - 项目类别:
Standard Grant
SCH: INT: Collaborative Research: DeepSense: Interpretable Deep Learning for Zero-effort Phenotype Sensing and Its Application to Sleep Medicine
SCH:INT:合作研究:DeepSense:零努力表型感知的可解释深度学习及其在睡眠医学中的应用
- 批准号:
2313481 - 财政年份:2022
- 资助金额:
$ 159.2万 - 项目类别:
Standard Grant
SCH: INT: Collaborative Research: Context-Adaptive Multimodal Informatics for Psychiatric Discharge Planning
SCH:INT:合作研究:用于精神病出院计划的上下文自适应多模态信息学
- 批准号:
10573225 - 财政年份:2021
- 资助金额:
$ 159.2万 - 项目类别:
SCH: INT: Collaborative Research: Context-Adaptive Multimodal Informatics for Psychiatric Discharge Planning
SCH:INT:合作研究:用于精神病出院计划的上下文自适应多模态信息学
- 批准号:
10392429 - 财政年份:2021
- 资助金额:
$ 159.2万 - 项目类别:
SCH: INT: Collaborative Research: Using Multi-Stage Learning to Prioritize Mental Health
SCH:INT:协作研究:利用多阶段学习优先考虑心理健康
- 批准号:
2124270 - 财政年份:2021
- 资助金额:
$ 159.2万 - 项目类别:
Standard Grant
SCH: INT: Collaborative Research: Privacy-Preserving Federated Transfer Learning for Early Acute Kidney Injury Risk Prediction
SCH:INT:合作研究:用于早期急性肾损伤风险预测的隐私保护联合迁移学习
- 批准号:
2014554 - 财政年份:2020
- 资助金额:
$ 159.2万 - 项目类别:
Standard Grant
SCH: INT: Collaborative Research: Privacy-Preserving Federated Transfer Learning for Early Acute Kidney Injury Risk Prediction
SCH:INT:合作研究:用于早期急性肾损伤风险预测的隐私保护联合迁移学习
- 批准号:
2014552 - 财政年份:2020
- 资助金额:
$ 159.2万 - 项目类别:
Standard Grant
SCH: INT: Collaborative Research: An intelligent Pervasive Augmented reaLity therapy (iPAL) for Opioid Use Disorder and Recovery
SCH:INT:合作研究:针对阿片类药物使用障碍和恢复的智能普遍增强现实疗法 (iPAL)
- 批准号:
2019389 - 财政年份:2020
- 资助金额:
$ 159.2万 - 项目类别:
Standard Grant
SCH: INT: Collaborative Research: An intelligent Pervasive Augmented reaLity therapy (iPAL) for Opioid Use Disorder and Recovery
SCH:INT:合作研究:针对阿片类药物使用障碍和恢复的智能普遍增强现实疗法 (iPAL)
- 批准号:
2013651 - 财政年份:2020
- 资助金额:
$ 159.2万 - 项目类别:
Standard Grant
SCH: INT: Collaborative Research: An Intelligent Pervasive Augmented reaLity therapy (iPAL) for Opioid Use Disorder and Recovery
SCH:INT:合作研究:针对阿片类药物使用障碍和恢复的智能普遍增强现实疗法 (iPAL)
- 批准号:
2013122 - 财政年份:2020
- 资助金额:
$ 159.2万 - 项目类别:
Standard Grant