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.

随着美国65岁或65岁以上人口的数量和比例不断增加， 患有痴呆症的美国人也在增加。在所有痴呆症中，阿尔茨海默病（AD） 和相关的痴呆症（ADRD）是最常见的原因，约占60%-80%， 例改善ADRD患者的护理不仅会影响患者及其家人的生活， 不仅是家庭，而且是照顾者及其家庭，对儿童的福祉构成重大挑战。 社会这个项目的目的是开发类人机器人的自主性和智能能力 机器人理解，协助，缓解和评估（护理）AD患者。建议的机器人护理 该系统具有检测AD患者的情绪和认知状态、交流和 与患者合作完成基本的工具性日常生活活动（IADL），如进餐 这些活动包括准备、洗衣、自我喂养，以及通过减轻照顾者的负担和压力来帮助他们。 拟议的制度可以有效地弥合我们社会中的照顾差距，提供前所未有的 改善患者及其护理人员生活质量的潜力。值得一提的 建议的机器人护理系统不是取代护理人员，而是补充 护理人员同时为AD患者提供陪伴，因为系统将学习自动 评估病人的认知状况，以便更了解及回应病人的需要。 CARE系统有望通过其创新性的功能， 以及认知评估和康复与机器人辅助护理的独特整合。拟议 系统从三个方面做出了贡献。首先，使用工具的认知评估 将进行患者-护理者互动的日常生活活动（IADL）。第二、 使用多模态集成和无监督学习的患者-机器人神经生理评估 将进行互动。第三，使用强化学习进行协作机器人评估， 将进行患者-机器人-护理人员交互。拟议的小组包括来自护理的专业知识 痴呆症护理和老年学专业，脑计算机专业的生物医学工程 界面和计算机科学，机器/深度学习专业。