Didactic Interaction

教学互动

基本信息

批准号：
10645100
负责人：
Joy P Ku
金额：
$ 18.09万
依托单位：
STANFORD UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-05-01 至 2025-04-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10645100
关键词：
Acceleration Algorithms Area Award Biomechanics Biomedical Engineering Caring Cerebral Palsy Client Clinical Collaborations Communities Computer software Computers Data Data Science Data Set Degenerative polyarthritis Devices Discipline Distance Learning Documentation Education Educational process of instructing Educational workshop Engineering Evaluation Event Exposure to Faculty Feedback Fostering Foundations Generations Goals Grant Individual Industry Leadership Letters Libraries Low Back Pain Machine Learning Mentors Mission Monitor Movement Outcome Parkinson Disease Participant Patient Care Patient Recruitments Patients Physical Medicine Physical therapy Physicians Pilot Projects Process Production Published Comment Rehabilitation Centers Rehabilitation Outcome Rehabilitation therapy Research Research Design Research Infrastructure Research Personnel Research Project Grants Research Training Resources Robotics Rotation Running Sampling Scientist Software Tools Specialist Stroke Students Surveys Talents Technology Time Training Training Programs Training and Infrastructure Translating Translations Travel Universities Validation biomedical scientist community center computer science data cleaning data sharing design effectiveness evaluation experience frailty improved innovation insight interdisciplinary collaboration knowledgebase mHealth massive open online courses mobile computing mobile sensor neurological rehabilitation new technology open source outreach program patient engagement physical therapist programs rehabilitation research rehabilitation technology sensor technology shared repository simulation statistics symposium tool user-friendly wearable sensor technology wiki

项目摘要

Mobile technology is poised to revolutionize rehabilitation research, but the infrastructure and training to support researchers in designing effective studies, collecting and analyzing data, and translating findings to improve care has not kept pace with the mobile technology industry. Our Center for Reliable Sensor Technology-Based Outcomes for Rehabilitation (RESTORE Center) will establish vital research infrastructure and training that enables rehabilitation scientists to use mobile sensors to monitor a diverse set of real-world outcomes. We will accomplish this by integrating expertise from bioengineering, statistics, computer science, mobile health, and clinical rehabilitation. Our mission is to launch a world-wide collaboration involving hundreds of researcher teams to collect and share real world data on rehabilitation outcomes. To achieve this, we will: 1. Provide state-of-the-art software to convert wearable sensor data into meaningful outcome metrics, create a data sharing repository with a vast set of movement and outcome data, and develop advanced data science tools to gain insight from real-world rehabilitation datasets. 2. Train thousands of rehabilitation scientists to use mobile technology for research through bootcamps, conference-based tutorials, an online knowledgebase, and massive open online courses. 3. Attract and train talented scholars from physical therapy, physiatry, computer science, biomechanics, and other fields to become experts in mobile technology and the needs of the rehabilitation community. 4. Award 65 seed grants to innovative and meritorious projects to accelerate the use of mobile technology in rehabilitation research and advance patient care. 5. Encourage the appropriate use of mobile technology in rehabilitation research and foster interdisciplinary collaborations through a multi-faceted promotion effort. Our broad outreach program will expand the group of over 14,000 researchers who are currently using our resources. 6. Establish a cohesive, vibrant, and sustainable Medical Rehabilitation Research Resource Center through the leadership of an experienced executive team that will manage the Center’s activities. By providing high-quality, in-demand, and open-source software tools, our Center will enable a collaboration of unprecedented scale between bioengineers, physical therapists, computer scientists, patients, physicians, and others focused on rehabilitation. Our training efforts will create a new generation of rehabilitation scientists who are fluent in the strengths and challenges of mobile technology. Our Center will be run by a tightly integrated clinical and engineering team, enabling us to appreciate the needs and goals of patients, recruit participants to our studies, and rapidly create valuable new technology. Together with the RESTORE Center community, we will achieve the potential of mobile technology to monitor real world function and improve care for conditions including stroke, Parkinson’s disease, osteoarthritis, frailty, cerebral palsy, and low back pain.

移动技术有望彻底改变康复研究，但基础设施和培训支持研究人员设计有效性研究、收集和分析数据以及将研究结果转化为我们的可靠传感器中心未能跟上移动技术行业的发展步伐。基于技术的康复成果（RESTORE 中心）将建立重要的研究基础设施以及培训，使康复科学家能够使用移动传感器来监测各种不同的现实世界我们将通过整合生物工程、统计学、计算机科学、我们的使命是发起一项涉及数百人的全球合作。为了实现这一目标，我们将： 1. 提供最先进的软件，将可穿戴传感器数据转换为有意义的结果指标，创建包含大量运动和结果数据的数据共享存储库，并开发先进的数据科学工具可从现实世界的康复数据集中获得洞察。 2. 通过训练营培训数千名康复科学家使用移动技术进行研究，基于会议的教程、在线知识库和大量开放在线课程。 3.吸引和培养物理治疗、生理学、计算机科学、生物力学、等领域成为移动技术和康复社区需求方面的专家。 4. 向创新和优秀项目提供 65 项种子资金，以加速移动技术的使用康复研究和先进的患者护理。 5. 鼓励在康复研究和培育中适当使用移动技术通过多方面的推广工作开展跨学科合作。将扩大目前使用我们资源的超过 14,000 名研究人员的队伍。 6. 建立一个有凝聚力、充满活力、可持续发展的医疗康复研究资源中心通过经验丰富的执行团队的领导来管理中心的活动。通过提供高质量、受欢迎的开源软件工具，我们的中心将实现以下方面的协作：生物工程师、物理治疗师、计算机科学家、患者、医生和我们的培训工作将培养新一代的康复科学家。熟悉移动技术的优势和挑战。我们的中心将由紧密集成的机构运营。临床和工程团队，使我们能够了解患者的需求和目标，招募我们的研究，并与 RESTORE Center 社区一起快速创造有价值的新技术。将发挥移动技术的潜力来监控现实世界的功能并改善对条件的护理包括中风、帕金森病、骨关节炎、虚弱、脑瘫和腰痛。