Didactic Interaction

教学互动

• 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
• 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

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.

移动的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的研究、收集和分析数据并将研究结果翻译成 医疗保健的改善还没有跟上移动的技术产业的步伐。我们的可靠传感器中心 基于技术的康复成果（RESTORE中心）将建立重要的研究基础设施 和培训，使康复科学家能够使用移动的传感器来监测各种各样的现实世界 结果。我们将通过整合生物工程、统计学、计算机科学、 移动的健康和临床康复。我们的使命是发起一个全球范围的合作， 研究小组收集和分享关于康复结果的真实的世界数据。为此，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， 创建一个数据共享存储库，其中包含大量的运动和结果数据，并开发高级 数据科学工具，从现实世界的康复数据集获得洞察力。 2.通过训练营培训数千名康复科学家使用移动的技术进行研究， 基于会议的教程、在线知识库和大规模开放式在线课程。 3.吸引和培养来自物理治疗，物理治疗，计算机科学，生物力学， 和其他领域成为移动的技术和康复社区需求的专家。 4.向65个创新和有价值的项目提供种子赠款，以加速使用移动的技术 康复研究和先进的病人护理。 5.鼓励在康复研究中适当使用移动的技术， 通过多方面的推广努力，加强跨学科合作。我们广泛的外展计划 将扩大目前正在使用我们资源的14，000多名研究人员的团队。 6.建立一个有凝聚力，充满活力和可持续发展的医疗康复研究资源中心 通过一个经验丰富的执行团队的领导，将管理中心的活动。 通过提供高质量、按需和开源的软件工具，我们的中心将实现以下协作： 生物工程师、物理治疗师、计算机科学家、患者、医生和 其他人则侧重于康复。我们的培训工作将创造新一代的康复科学家， 熟悉移动的技术的优势和挑战。我们的中心将由一个紧密整合的 临床和工程团队，使我们能够了解患者的需求和目标，招募参与者， 我们的研究，并迅速创造有价值的新技术。与RESTORE中心社区一起，我们 将实现移动的技术的潜力，以监测真实的世界的功能，并改善护理条件 包括中风、帕金森氏病、骨关节炎、虚弱、脑瘫和腰痛。