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Intelligent Assistive Technology Applications to Dementia Care: Current Capabilities Limitations and Future Challenges

机译:智能辅助技术在痴呆症护理中的应用:当前的能力局限性和未来的挑战

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摘要

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.
机译:到2050年,罹患阿尔茨海默氏病和相关痴呆症的老年美国人数量将增加三倍,达到1300万人,从而大大增加医疗保健需求。解决新出现的危机的一种方法是开发和部署智能辅助技术,该技术可以补偿患有痴呆症的老年人的特定身体和认知缺陷,从而减轻照护者的负担。作者对计算机科学,工程和医学数据库进行了广泛搜索,以审查智能认知设备,生理和环境传感器以及先进的集成传感器网络,这些网络可能会在痴呆症护理中找到未来的应用。对现有文献的回顾表明,对于典型的非进行性缺氧和外伤性脑损伤的年轻人,其身体残疾问题极为关注,很少有针对痴呆症患者的临床研究。在讨论每种技术的特定功能,优势和局限性之后,将概述研究方法挑战,以实现可衡量的进步以满足美国老龄化的医疗保健需求,必须应对这些挑战。

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