Literature DB >> 15598457

An implantable telemetry device to measure intra-articular tibial forces.

Darryl D D'Lima1, Christopher P Townsend, Steven W Arms, Beverly A Morris, Clifford W Colwell.   

Abstract

Tibial forces are important because they determine polyethylene wear, stress distribution in the implant, and stress transfer to underlying bone. Theoretic estimates of tibiofemoral forces have varied between three and six times the body weight depending on the mathematical models used and the type of activity analyzed. An implantable telemetry system was therefore developed to directly measure tibiofemoral compressive forces. This system was tested in a cadaver knee in a dynamic knee rig. A total knee tibial arthroplasty prosthesis was instrumented with four force transducers located at the four corners of the tibial tray. These transducers measured the total compressive forces on the tibial tray and the location of the center of pressure. A microprocessor performed analog-to-digital signal conversion and performed pulse code modulation of a surface acoustic wave radio frequency oscillator. This signal was then transmitted through a single pin hermetic feed-through tantalum wire antenna located at the tip of the stem. The radio frequency signal was received by an external antenna connected to a receiver and to a computer for data acquisition. The prosthesis was powered by external coil induction. The tibial transducer accurately measured both the magnitude and the location of precisely applied external loads. Successful transmission of the radio frequency signal up to a range of 3m was achieved through cadaveric bone, bone cement, and soft tissue. Reasonable accuracy was obtained in measuring loads applied through a polyethylene insert. The implant was also able to detect unicondylar loading with liftoff.

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Year:  2005        PMID: 15598457     DOI: 10.1016/j.jbiomech.2004.02.011

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  35 in total

1.  Grand challenge competition to predict in vivo knee loads.

Authors:  Benjamin J Fregly; Thor F Besier; David G Lloyd; Scott L Delp; Scott A Banks; Marcus G Pandy; Darryl D D'Lima
Journal:  J Orthop Res       Date:  2011-12-12       Impact factor: 3.494

2.  Prediction of In Vivo Knee Joint Loads Using a Global Probabilistic Analysis.

Authors:  Alessandro Navacchia; Casey A Myers; Paul J Rullkoetter; Kevin B Shelburne
Journal:  J Biomech Eng       Date:  2016-03       Impact factor: 2.097

3.  Patient-specific computer model of dynamic squatting after total knee arthroplasty.

Authors:  Hideki Mizu-Uchi; Clifford W Colwell; Cesar Flores-Hernandez; Benjamin J Fregly; Shuichi Matsuda; Darryl D D'Lima
Journal:  J Arthroplasty       Date:  2015-01-10       Impact factor: 4.757

4.  Changes in in vivo knee loading with a variable-stiffness intervention shoe correlate with changes in the knee adduction moment.

Authors:  Jennifer C Erhart; Chris O Dyrby; Darryl D D'Lima; Clifford W Colwell; Thomas P Andriacchi
Journal:  J Orthop Res       Date:  2010-12       Impact factor: 3.494

5.  Co-simulation of neuromuscular dynamics and knee mechanics during human walking.

Authors:  Darryl G Thelen; Kwang Won Choi; Anne M Schmitz
Journal:  J Biomech Eng       Date:  2014-02       Impact factor: 2.097

6.  The 2011 ABJS Nicolas Andry Award: 'Lab'-in-a-knee: in vivo knee forces, kinematics, and contact analysis.

Authors:  Darryl D D'Lima; Shantanu Patil; Nicolai Steklov; Clifford W Colwell
Journal:  Clin Orthop Relat Res       Date:  2011-05-20       Impact factor: 4.176

7.  Restoration of constitutional alignment in TKA leads to more physiological strains in the collateral ligaments.

Authors:  Hendrik Delport; Luc Labey; Bernardo Innocenti; Ronny De Corte; Jos Vander Sloten; Johan Bellemans
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2014-04-06       Impact factor: 4.342

8.  Effective gait patterns for offloading the medial compartment of the knee.

Authors:  Benjamin J Fregly; Darryl D D'Lima; Clifford W Colwell
Journal:  J Orthop Res       Date:  2009-08       Impact factor: 3.494

9.  Update on grand challenge competition to predict in vivo knee loads.

Authors:  Allison L Kinney; Thor F Besier; Darryl D D'Lima; Benjamin J Fregly
Journal:  J Biomech Eng       Date:  2013-02       Impact factor: 2.097

10.  A handheld computer as part of a portable in vivo knee joint load monitoring system.

Authors:  Ja Szivek; Vs Nandakumar; Cp Geffre; Cp Townsend
Journal:  J Med Device       Date:  2008-09-01       Impact factor: 0.582

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