Intelligent assistive technology applications to dementia care: current capabilities, limitations, and future challenges.
Intelligent assistive technology applications to dementia care: current capabilities, limitations, and future challenges.
复制标题
DOI：
10.1097/jgp.0b013e318187dde5
复制
发表时间：
2009-02
期刊：
影响因子：
--
通讯作者：
Wactlar H
中科院分区：
文献类型：
--
作者：
Bharucha AJ;Anand V;Forlizzi J;Dew MA;Reynolds CF 3rd;Stevens S;Wactlar H
到2050年，患有阿尔茨海默病和相关痴呆症的美国老年人数量将增加两倍，达到1300万人，从而大大增加了医疗保健需求。应对这一新危机的一种方法是开发和部署智能辅助技术，以补偿老年痴呆症患者的特定身体和认知缺陷，从而减轻护理人员的负担。作者对计算机科学、工程和医学数据库进行了广泛的搜索，以回顾智能认知设备、生理和环境传感器以及先进的集成传感器网络，这些传感器可能在痴呆症护理中找到未来的应用。对现有文献的回顾显示，绝大多数关注的是典型的非进行性缺氧和创伤性脑损伤的年轻人的身体残疾，很少有专门涉及痴呆症患者的临床研究。讨论了每种技术的具体能力、优势和局限性，然后概述了必须解决的研究方法挑战，以实现可衡量的进展，以满足老龄化美国的医疗保健需求。
The number of older Americans afflicted by Alzheimer disease and related dementias will triple to 13 million persons by 2050, thus greatly increasing healthcare needs. An approach to this emerging crisis is the development and deployment of intelligent assistive technologies that compensate for the specific physical and cognitive deficits of older adults with dementia, and thereby also reduce caregiver burden. The authors conducted an extensive search of the computer science, engineering, and medical databases to review intelligent cognitive devices, physiologic and environmental sensors, and advanced integrated sensor networks that may find future applications in dementia care. Review of the extant literature reveals an overwhelming focus on the physical disability of younger persons with typically nonprogressive anoxic and traumatic brain injuries, with few clinical studies specifically involving persons with dementia. A discussion of the specific capabilities, strengths, and limitations of each technology is followed by an overview of research methodological challenges that must be addressed to achieve measurable progress to meet the healthcare needs of an aging America.