SCH: Robotic Caregiver to Comprehend, Assist, Relieve, and Evaluate for Patients with Alzheimer’s Disease (Robotic CARE for AD)

SCH：用于理解、协助、缓解和评估阿尔茨海默病患者的机器人护理员（Robotic CARE for AD）

• 批准号: 10569583
• 负责人: Xiaopeng Zhao
• 金额: $ 28.61万
• 依托单位: UNIVERSITY OF TENNESSEE KNOXVILLE
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-02-15 至 2026-01-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10569583
• 关键词: Accounting; Address; Alzheimer' s Disease; Alzheimer' s disease care; Alzheimer' s disease patient; Alzheimer' s disease related dementia; American; Biomedical Engineering; Caregivers; Caring; Cognitive; Collaborations; Communication; Dementia; Discipline of Nursing; Emotions; Family; Gerontology; Intelligence; Learning; Patient Care; Patients; Personal Satisfaction; Persons; Preparation; Psychological reinforcement; Quality of life; Resources; Robot; Robotics; Societies; Stress; System; United States; aged; brain computer interface; cognitive rehabilitation; cognitive testing; computer science; deep learning; dementia care; feeding; humanoid robot; improved; innovation; instrumental activity of daily living; interdisciplinary approach; medical specialties; multimodality; neurophysiology; robot assistance; unsupervised learning

As the number and proportion of people aged 65 or older continue to increase in the United States, the number of Americans living with dementia is also growing. Among all dementia, Alzheimer’s disease (AD) and related dementia (ADRD) is the most common cause, accounting for approximately 60%-80% of the cases. Improving the care of people living with ADRD impacts the lives of not only the patients and their family but also the caregivers and their family, posing significant challenges to the well-being of the society. The purpose of this project is to exploit the autonomy and intelligence capability of a humanoid robot to comprehend, assist, relieve, and evaluate (CARE) patients with AD. The proposed Robotic CARE system has the capacity to detect the emotion and cognitive state of an AD patient, communicate and collaborate with the patient to accomplish basic instrumental activities of daily living (IADL) such as meal preparation, laundry, self-feeding, as well as help caregivers by reducing their levels of burden and stress. The proposed system could effectively bridge the CARE gap in our society, offering unprecedented potential for improving the quality of lives of both the patients and their caregivers. It is worth mentioning that the proposed Robotic CARE system is not to replace the caregivers, but rather to supplement the caregivers while providing companionship for AD patients since the system will learn to automatically assess patients’ cognitive state so as to better understand and respond to patients’ need. The CARE system is expected to advance the state-of-the-art in several related fields with its innovative and unique integration of cognitive assessment and rehabilitation with robot-assisted care. The proposed system makes contributions from three perspectives. First, cognitive assessment using instrumental activities of daily living (IADL) for patient-caregiver interaction will be conducted. Second, neurophysiological assessment using multimodal integration and unsupervised learning for patient-robot interaction will be conducted. Third, co-robot assessment using reinforcement learning for patient-robot-caregiver interaction will be conducted. The proposed team includes expertise from nursing with specialty in dementia care and gerontology, biomedical engineering with specialty in brain-computer interface, and computer science with specialty in machine/deep learning.

随着65岁或65岁以上的人数和比例在美国继续增加， 患有痴呆症的美国人的人数也在增加。在所有痴呆症中，阿尔茨海默氏病（AD） 相关痴呆（ADRD）是最常见的原因，约占60％-80％ 案例。改善ADRD的人的护理不仅会影响患者及其他们的生活 家庭，也是照顾者及其家人，对福祉构成了重大挑战 社会。该项目的目的是利用类人生物的自主性和智能能力 机器人可以理解，协助，救援和评估AD患者（护理）患者。提议的机器人护理 系统有能力检测广告患者的情绪和认知状态，交流和 与患者合作完成日常生活的基本乐器活动（IADL），例如餐 准备，洗衣，自我进食，以及通过降低燃烧和压力水平来帮助看护人。 拟议的系统可以有效地弥合我们社会中的护理差距，从而提供前所未有的 提高患者及其护理人员生活质量的潜力。值得一提的 拟议的机器人护理系统不是要取代护理人员，而是要补充 护理人员在为广告患者提供合作伙伴关系的同时，因为该系统将自动学习 评估患者的认知状态，以更好地理解和应对患者的需求。 预计该护理系统将通过其创新性推进几个相关领域的最先进 以及认知评估和康复与机器人辅助护理的独特整合。提议 系统从三个角度做出贡献。首先，使用工具的认知评估 将进行日常生活的活动（IADL），以进行患者照顾者互动。第二， 使用多模式整合和无监督学习的神经生理评估 相互作用将进行。第三，使用加强学习的共同机器人评估 将进行患者机器人的互动。拟议的团队包括护士的专业知识 具有痴呆症护理和老年病的专业，生物医学工程具有专业的脑部计算机 界面和计算机科学具有专业的机器/深度学习。