Promoting Center Expertise

推广中心专业知识

• 批准号: 10155576
• 负责人: Joy P Ku
• 金额: $ 11.47万
• 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/10155576
• 关键词: Address; American; Apple; Area; Artificial Leg; Attention; Award; Awareness; Biomechanics; Biomedical Engineering; Caring; Cerebral Palsy; Clinical; Clinical Engineering; Collaborations; Communication; Communities; Computer software; Computers; Congresses; Data; Data Analyses; Data Science; Data Scientist; Data Set; Degenerative polyarthritis; Development; Devices; Disabled Persons; Discipline; Effectiveness; Electronic Mail; Ensure; Event; Fostering; Future; Generations; Goals; Grant; Human; Incentives; Individual; Industrialization; Industry; Joints; Leadership; Libraries; Low Back Pain; Machine Learning; Medical center; Minority Groups; Mission; Monitor; Movement; Newsletter; Nonprofit Organizations; Outcome; Parkinson Disease; Patient Care; Patient Recruitments; Patients; Physical Medicine; Physical therapy; Physicians; Problem Solving; Professional Organizations; Prosthesis; Rehabilitation Centers; Rehabilitation Outcome; Rehabilitation therapy; Research; Research Activity; Research Infrastructure; Research Personnel; Research Support; Resources; Running; Scientist; Seeds; Site; Software Tools; Stream; Stroke; System; Talents; Technology; Touch sensation; Training; Training and Infrastructure; Translating; Underrepresented Minority; United States National Institutes of Health; Visit; Walking; Woman; Work; base; cohesion; community center; computer science; data hub; data sharing; design; ethnic minority population; experience; fitbit; frailty; improved; innovation; insight; interdisciplinary collaboration; knowledge base; mHealth; massive open online courses; member; mobile application; mobile computing; new technology; open source; outreach program; physical therapist; programs; racial minority; rehabilitation research; repository; sensor; sensor technology; social media; statistics; symposium; tool; wearable sensor technology; web site

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