Self-Powered In Vivo Force and Implant Wear Sensing in Knee Arthroplasty

Information

  • Research Project
  • 9099406
  • ApplicationId
    9099406
  • Core Project Number
    R15AR068663
  • Full Project Number
    1R15AR068663-01A1
  • Serial Number
    068663
  • FOA Number
    PA-13-313
  • Sub Project Id
  • Project Start Date
    8/15/2016 - 8 years ago
  • Project End Date
    7/31/2019 - 5 years ago
  • Program Officer Name
    WASHABAUGH, CHARLES H
  • Budget Start Date
    8/15/2016 - 8 years ago
  • Budget End Date
    7/31/2019 - 5 years ago
  • Fiscal Year
    2016
  • Support Year
    01
  • Suffix
    A1
  • Award Notice Date
    8/15/2016 - 8 years ago

Self-Powered In Vivo Force and Implant Wear Sensing in Knee Arthroplasty

? DESCRIPTION (provided by applicant): Understanding the ideal ligamentous balance to be achieved during surgery is considered by many the Holy Grail of total knee arthroplasty (TKA). Balance of the compartmental forces in artificial knees is a critical factor in surgical outcomes related to performance and lifespan of knee replacements and to patient satisfaction. Improperly balanced knees result in accelerated wear of the articular surfaces, reduced range of motion, and patient discomfort and pain due to osteolysis. Current surgical practices for the balance of ligamentous forces rely heavily on the surgeon's experience and use qualitative methods to achieve proper balance. The lack of quantitative measures for intraoperative balancing of forces presents a gap in the current scientific knowledge of TKA, thus revealing a need to measure tibiofemoral forces in vivo to develop improved surgical procedures and implant designs. Current methods for in vivo load sensing require external power sources for charging internal batteries as well as modifications to existing total knee replacement geometries. The goal of this work is to investigate the use of piezoelectric materials embedded in total knee replacement (TKR) bearings in order to sense tibiofemoral forces in vivo and to convert knee loads into usable electrical energy to power the embedded sensor, thereby preserving existing implant designs and creating a self-powered solution. Additionally, the use of the embedded sensors to perform in vivo implant wear and loosening monitoring will be investigated, which has not been addressed by current methods. Aim 1 will identify the effects of embedding piezoelectric transducers on the fatigue life of the bearings and determine the ability of embedded transducers to accurately sense tibiofemoral forces through both multiphysics finite element simulation and experimental fatigue testing that subjects the instrumented implant to realistic load profiles experienced in the knee. Aim 2 will develop sensing techniques for in vivo implant wear and loosening monitoring based on existing methods used in the structural health monitoring field using experimental techniques. Aim 3 will determine the amount of energy that can be converted and stored by the piezoelectric transducers to power the implantable device through multiphysics simulation and experimental compression testing. This research supports the NIH mission by 1) furthering the understanding of the effects of mechanical forces on implant wear and loosening, 2) advancing the development of data-driven approaches to improve implant performance, and 3) progressing the development of in vivo wear measurements in total knee replacements; all of which have been identified by the National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) as long-range research goals. The ability to continuously measure tibiofemoral forces both intra- and postoperatively will allow much needed insight into the progression of forces in artificial knees, furthering the understanding of ideal practices for surgical procedures and TKR designs. Advancements in in vivo measurement technology from this work can be applied to other orthopedic applications including hip and spine implantation.

IC Name
NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES
  • Activity
    R15
  • Administering IC
    AR
  • Application Type
    1
  • Direct Cost Amount
    312285
  • Indirect Cost Amount
    105087
  • Total Cost
    417372
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    846
  • Ed Inst. Type
    BIOMED ENGR/COL ENGR/ENGR STA
  • Funding ICs
    NIAMS:417372\
  • Funding Mechanism
    Non-SBIR/STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    TENNESSEE TECHNOLOGICAL UNIVERSITY
  • Organization Department
    ENGINEERING (ALL TYPES)
  • Organization DUNS
    878648153
  • Organization City
    COOKEVILLE
  • Organization State
    TN
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    385050001
  • Organization District
    UNITED STATES