Wearable nanocomposite sensor system for diagnosing mechanical sources of low back pain and guiding rehabilitation

Information

  • Research Project
  • 9897908
  • ApplicationId
    9897908
  • Core Project Number
    UH2AR076723
  • Full Project Number
    1UH2AR076723-01
  • Serial Number
    076723
  • FOA Number
    RFA-AR-19-028
  • Sub Project Id
  • Project Start Date
    9/26/2019 - 5 years ago
  • Project End Date
    8/31/2021 - 3 years ago
  • Program Officer Name
    ZHENG, XINCHENG
  • Budget Start Date
    9/26/2019 - 5 years ago
  • Budget End Date
    8/31/2021 - 3 years ago
  • Fiscal Year
    2019
  • Support Year
    01
  • Suffix
  • Award Notice Date
    9/26/2019 - 5 years ago
Organizations

Wearable nanocomposite sensor system for diagnosing mechanical sources of low back pain and guiding rehabilitation

PROJECT SUMMARY Back pain has gained the distinction of being the most disabling condition in the world [1-3], affecting 80-90% of the US population at some point in their lifetime, with 29% of the US population having experienced lower back pain within the last 3 months. Back and neck pain are the leading cause of missed work days and rank second only to the common cold as a reason for a visit to the doctor, accounting for approximately 30% of general practitioner visits. Of particular concern is chronic low back pain (cLBP), which is recurrent and often non-responsive to conservative treatments. It has long been recognized that spinal pathology changes the way that we move. Biomechanists, physical therapists, and surgeons each utilize a variety of tools and techniques to assess and interpret qualitative movement changes as a window to understanding potential mechanical and neurological sources of low back pain and as a critical element in their treatment paradigm. However, objectively characterizing and communicating this information is currently impossible, since clinically feasible (e.g., cost-effective, objective, and accurate) tools and quantitative benchmarks do not exist. This proposal addresses the challenge to improve cLBP outcomes through the use of unique, inexpensive, screen-printable, elastomer-based nano-composite piezoresponsive sensors which will be integrated into a SPInal Nanosensor Environment (SPINE Sense System) to measure lumbar kinematics and provide an objective, quantitative platform for diagnosis, monitoring, and follow-up assessment of cLBP.

IC Name
NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES
  • Activity
    UH2
  • Administering IC
    AR
  • Application Type
    1
  • Direct Cost Amount
    504468
  • Indirect Cost Amount
    221173
  • Total Cost
    725641
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    846
  • Ed Inst. Type
    BIOMED ENGR/COL ENGR/ENGR STA
  • Funding ICs
    NINDS:725641\
  • Funding Mechanism
    Non-SBIR/STTR RPGs
  • Study Section
    ZAR1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    BRIGHAM YOUNG UNIVERSITY
  • Organization Department
    ENGINEERING (ALL TYPES)
  • Organization DUNS
    009094012
  • Organization City
    PROVO
  • Organization State
    UT
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    846021001
  • Organization District
    UNITED STATES