Utilizing Technology and AI Approaches to Facilitate Independence and Resilience in Older Adults

利用技术和人工智能方法促进老年人的独立性和适应能力

• 批准号: 10652093
• 负责人: Peter M. Abadir
• 金额: $ 33.34万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-30 至 2026-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10652093
• 关键词: Acoustic Stimulation; Age; Algorithms; Alzheimer' s Disease; Brain; Clinical; Complex; Data; Development; Devices; Elderly; Electroencephalography; Evaluation; Health; Home; Instruction; Laboratories; Link; Measures; Memory; Methods; Persons; Phase; Sequoia; Sleep; Slow-Wave Sleep; Techniques; Technology; Time; Translating; Work; algorithm development; artificial intelligence algorithm; clinical effect; design; feeding; improved; memory consolidation; prototype; resilience; sensor; sound; usability; wearable device

The U.S. population of adults aged ≥65 years will grow from 54.1 to 94.7 million by the year 2060 and this demographic shift will be accompanied by a substantial increase in dementia prevalence. A growing literature supports a critical link between sleep disturbance and cognitive impairment and decline. Poor sleep, specifically decrements in the slow-wave oscillations that occur during non-rapid eye movement (NREM) slow-wave sleep (SWS), are being studied as possible points of intervention. During SWS, memory traces encoded during the day are reactivated, strengthened, and transferred from the hippocampus to the neocortex, where they become more durable, long-term memories. Thus, SWS shows promise as a target for therapies aimed at modulating AD pathophysiology and slowing or even preventing AD. Within this proposal, we are developing a wearable technology that slows cognitive decline in older adults in the comfort of their own homes. Our digital therapeutic employs an EEG headband and closed-loop neurostimulation to enhance brain activity during slow wave sleep. By adapting this technology to the unique needs of older adults and packaging the complex sensors, circuitry, and algorithms into a comfortable headband, we are translating this laboratory technique into an accessible therapy.

美国65岁以上成年人口每年将从54.1万人增至9470万人 到 2060 年，这种人口变化将伴随着痴呆症的大幅增加 越来越多的文献支持睡眠障碍与认知之间存在重要联系。 睡眠质量下降，特别是慢波振荡下降。 发生在非快速眼动 (NREM) 慢波睡眠 (SWS) 期间，正在研究为 在SWS期间，白天编码的记忆痕迹是可能的干预点。 重新激活、强化并从海马体转移到新皮质，在那里它们 因此，SWS 显示出作为目标的希望。 旨在调节 AD 病理生理学并减缓甚至预防 AD 的疗法。 根据这项提案，我们正在开发一种可穿戴技术，可以减缓老年人的认知能力下降 我们的数字治疗采用脑电图头带和 通过调整闭环神经刺激来增强慢波睡眠期间的大脑活动。 技术满足老年人的独特需求，并封装了复杂的传感器、电路、 和算法到舒适的头带中，我们正在将这种实验室技术转化为 易于接受的治疗。