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Rehabilitation Research at the NSFWendy Nilsen, PhDProgram Director, Smart and Connected Health
Background NSF• Rehabilitation research can be found in many areas in NSF and
within the mission of several cross-directorate initiatives • It is a case of use-inspired basic research. The scientific
advances in basic science can be in computing, information science, engineering or social or behavioral science. The benefit to rehabilitation research is important, but second to the advances in basic science.
• Three major homes for this research:• Smart and Connected Health• Cyber-physical Systems• National Robotics Initiative
Smart & Connected Health (SCH)Inter-Agency Program
National Science FoundationNational Institutes of Health
NSF Solicitation NSF 13-543
Wendy Nilsen, PhDProgram Director, Smart and Connected Health
Computer and Information Sciences and Engineering, NSF
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Pasteur’s Quadrant
Neils Bohr Luis Pasteur
Thomas EdisonSteve Jobs
Que
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Application Inspired: Consideration of Use
Donald E. Stokes, Pasteur's Quadrant – Basic Science and Technological Innovation, Brookings Institution Press, 1997
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Smart and Connected Health Research Areas
• Integration of EHR, clinical and patient data• Access to information, data harmonization• Semantic representation, fusion, visualization
Digital Health Information
Infrastructure Informatics and Infrastructure
• Datamining and machine learning• Inference, cognitive decision support system• Bring raw image data to clinical practice
Data to Knowledge to Decision
Reasoning under uncertainty
• Systems for empowering patient• Models of readiness to change• State assessment from images video
Empowered IndividualsEnergized, enabled,
educated
• Assistive technologies embodying computational intelligence• Medical devices, co-robots, cognitive orthotics, rehab
coaches
Sensors, Devices, and Robotics
Sensor-based actuation
NSF Directorates Participating in SCH
Office of the Director
Engineering (ENG)
Geosciences (GEO)
Mathematical and Physical Sciences (MPS)
Budget, Finance Award Management
Computer & Information Science and Engineering(CISE)
Biological Sciences (BIO)
Diversity and Inclusion
Social, Behavioral and Economic Sciences (EBS)
Education and Human Resources (EHR)
General Counsel
Information & Resource
Management
Legislative & Public Affairs
National Science Board
Office of Inspector General
Cyber-infrastructure
Integrative Activities
International Science and Engineering
Polar programs
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NIH Institutes Participating in SCH
OBSSR
NCI
NIBIB
NIANHGRI
NICHD
National Human Genome Research Institute
Computing Robot Motions for Home Healthcare Assistance
Robots autonomously performing tasks in home-like environments
Motivation:• Over 10 million Americans currently need
assistance with activities of daily living (ADLs), and this number is growing.
• Robots could empower older adults and individuals needing ADL assistance to remain in their own homes rather than be transferred to costly institutions or nursing homes.
• New software and algorithms are needed to control home healthcare robots for autonomous, safe assistance with ADLs.
Technical Approach:• Learn robust metrics for ADL task motions
from kinesthetic demonstrations provided by healthy humans. The computed metric serves as a guideline for fast motion planning for interactions with new care recipients.
• Develop fast algorithms for real-time motion computation in uncertain, dynamic, and cluttered environments. Achieve fast performance using novel algorithms and harnessing the compute power of multi-core CPUs and many-core GPUs.
PI Ron Alterovitz, University of North Carolina at Chapel Hill, NSF Grant #1117127
Use of Gaming Peripherals in Acute Rehabilitation of Balance Following Stroke
James Schmiedeler, Aaron Striegel, & Charles Crowell University of Notre Dame IIS-1117706
Motivation: Restoration of balance after stroke is critical
determinant of patient’s long-term assistive needs.
Optimizing use of limited therapy time, particularly in acute phase shortly after injury, facilitates functional recovery.
High cost of most balance feedback systems limits clinical access & potential for in-home use after discharge.
Technical Approach:• Compare types of visual feedback provided
based on center of pressure data from Nintendo Wii Balance Board.
• Model human control of lateral weight shifting to identify changes associated with balance deficits.
• Manipulate visual feedback during balance therapy tasks to facilitate rehabilitation of specific deficits.
SCH EXP: Collaborative Research: A Formalism for Customizing the Control of Assistive Machines
Customiziation of control sharing functions to the user (U) and task (T)
Motivation: For those with severe upper limb motor
impairments, caregivers are still relied on for manipulation tasks like meal preparation or personal hygiene.
Robotic arms hold much promise, however traditional devices for teleoperation like joysticks become tedious or untenable to control these higher degrees of freedom systems.
Technical Approach:• A formalism that customizes how users share
control with intelligent autonomous assistive devices, based on user ability and preference.
• Customization to the user and task, and based on the confidence that the user's goal has been predicted correctly.
• Customization by the autonomy and by the user.
Brenna Argall, Northwestern UniversitySiddhartha Srinivasa, Carnegie Mellon UniversityNSF Grant # 1R01EB019335-01
Socially Assistive Human-Machine Interaction for Improved Compliance and Health Outcomes
Motivation: Our approach is focused on socially
assistive robotics (SAR) and is motivated the following domains:
Post stroke rehabilitation Physical and cognitive exercise for older
adults General exercise encouragement
Technical Approach:• Affective feedback, praise, encouragement,
and relationship building in SAR exercise coach and buddy systems
• Personalization of motivational character backstory
• Use of deviation (cheating) detection for user engagement
PI: Maja J Matarić, University of Southern California, NSF Grant #1117279
Useful Website: www.nsf.gov
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“You miss 100% of the shots you never take.”
Wayne Gretzky
