# Pilot Studies

> **NIH NIH P2C** · STANFORD UNIVERSITY · 2020 · $236,563

## Abstract

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,...

## Key facts

- **NIH application ID:** 9967680
- **Project number:** 1P2CHD101913-01
- **Recipient organization:** STANFORD UNIVERSITY
- **Principal Investigator:** Jennifer Lee Hicks
- **Activity code:** P2C (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $236,563
- **Award type:** 1
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9967680

## Citation

> US National Institutes of Health, RePORTER application 9967680, Pilot Studies (1P2CHD101913-01). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9967680. Licensed CC0.

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