PFI-RP: Use of Augmented Reality and Electroencephalography for Visual Unilateral Neglect Detection, Assessment and Rehabilitation in Stroke Patients

PFI-RP：使用增强现实和脑电图进行中风患者的视觉单侧忽视检测、评估和康复

• 批准号: 2234346
• 负责人: Murat Akcakaya
• 金额: $ 55万
• 依托单位: University of Pittsburgh
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-12-01 至 2026-11-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2234346&HistoricalAwards=false
• 关键词: PFI; RP; Use; Augmented; Reality

The broader impact/commercial potential of this Partnerships for Innovation Research Partnership (PFI-RP) project is in the development of a visual unilateral neglect detection, assessment, and rehabilitation tool for stroke patients. According to the Center for Disease Control and Prevention, stroke is a leading cause of serious long-term disability, including the cost of healthcare services, medicines and missed days of work. Stroke related costs in the United States are around $50 billion every year. Unilateral spatial neglect (neglect) is a disabling neurocognitive impairment for stroke patients occurring in 28.60% of the stroke population. Moreover, neglect is a strong predictor of disability, and stroke patients with neglect have longer hospital stays and receive more direct treatment time from physical and occupational therapists than individuals without neglect, culminating in significantly higher healthcare costs. However, there is currently no commercial product targeting neglect detection, assessment and rehabilitation. Current clinical gold standard neglect detection methods are affected by compensatory strategies and are not sensitive to changes in the severity of neglect; and rehabilitation techniques are not effective in reducing disability associated with neglect. This project, through a multidisciplinary team, will address these issues while developing the proposed neglect detection, assessment, and rehabilitation technology. The proposed project will develop a neglect detection, assessment and rehabilitation tool that incorporates stimulation to draw attention to the affected side of the body and environment based on the automatic detection of neglect through neurophysiology measured through electroencephalography, thereby stimulating neural networks responsible for spatial attention and perceptual processing for stroke patients. Stimulation during everyday activities with high levels of repetition is needed to promote implicit learning that supports generalization of learning and independence. Current detection and rehabilitation methods lack the necessary precision, salience, and repetition to promote this type of learning. Due to limitations associated with these methods, there is no gold assessment for neglect or standard of care for rehabilitation of neglect in routine clinical practice. The proposed project offers a potential solution to these problems, incorporating best practices from rehabilitation intervention research and state-of-the-art technologies that will be cost-effective to be implemented in rehabilitation clinics. The proposed technology incorporates objective and reliable quantification of neglect severity and tailored sensory stimulation that is: (i) technology-driven (accurate, reliable, repetitive, cost-effective); (ii) multimodal: visual, auditory, haptic stimulation (optimizes perceptual processing); (iii) individualized to the available field of vision; and (iv) simultaneous with ``real-world'' activities of daily living .This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该创新研究合作伙伴关系 (PFI-RP) 项目更广泛的影响/商业潜力在于为中风患者开发视觉单侧忽视检测、评估和康复工具。 据疾病控制和预防中心称，中风是导致严重长期残疾的主要原因，其中包括医疗服务、药品和缺勤的费用。美国每年与中风相关的费用约为 500 亿美元。单侧空间忽视（忽视）是中风患者的一种致残性神经认知障碍，占中风人群的 28.60%。 此外，忽视是残疾的有力预测因素，与没有忽视的中风患者相比，被忽视的中风患者住院时间更长，接受物理和职业治疗师的直接治疗时间也更长，最终导致医疗费用显着更高。 然而，目前还没有针对忽视检测、评估和康复的商业产品。目前临床金标准忽视检测方法受补偿策略影响，对忽视严重程度的变化不敏感；康复技术不能有效减少因忽视而导致的残疾。 该项目将通过多学科团队解决这些问题，同时开发拟议的忽视检测、评估和康复技术。拟议的项目将开发一种忽视检测、评估和康复工具，该工具结合刺激，通过脑电图测量的神经生理学自动检测忽视，从而刺激负责空间注意力和注意力的神经网络，从而引起人们对身体和环境受影响一侧的注意。中风患者的知觉处理。需要在日常活动中进行高水平重复的刺激来促进内隐学习，从而支持学习的泛化和独立性。 当前的检测和康复方法缺乏必要的精确性、显着性和重复性来促进此类学习。由于这些方法的局限性，在常规临床实践中没有对忽视的黄金评估或忽视康复的护理标准。拟议的项目为这些问题提供了一个潜在的解决方案，结合了康复干预研究的最佳实践和最先进的技术，这些技术在康复诊所中实施将具有成本效益。拟议的技术结合了对忽视严重程度的客观可靠的量化和定制的感官刺激，即：（i）技术驱动（准确、可靠、重复、具有成本效益）； (ii) 多模式：视觉、听觉、触觉刺激（优化感知处理）； (iii) 根据可用视野进行个性化； (iv) 与日常生活的“现实世界”活动同时进行。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。