Literature DB >> 17433815

Design, calibration and pre-clinical testing of an instrumented tibial tray.

Bernd Heinlein1, Friedmar Graichen, Alwina Bender, Antonius Rohlmann, Georg Bergmann.   

Abstract

An instrumented tibial tray was developed that enables the measurement of six load components in a total knee arthroplasty (TKA). The design is fully compatible with a commonly available knee arthroplasty product since it uses the original tibial insert and femoral component. Two plates with hollow stems made from titanium alloy are separated by a small gap. Six semiconductor strain gages are used for measuring the load-dependent deformation of the inner hollow stem. A 9-channel telemetry unit with a radio-frequency transmitter is encapsulated hermetically in the cavity of the prosthesis. The telemetry is powered inductively and strain gage signals are transmitted via a small antenna at the tip of the implant. The mean sampling rate is 125Hz. The calibration of the prosthesis resulted in an accuracy better than 2% mean measuring error. Fatigue testing of the implant was performed up to 10 million loading cycles and showed no failure. The pending in vivo application will give further insight into the kinetics of TKA. The measured values will enhance the quality of future pre-clinical testing, numerical modeling in knee biomechanics and the patients' physiotherapy and rehabilitation.

Entities:  

Mesh:

Year:  2007        PMID: 17433815     DOI: 10.1016/j.jbiomech.2007.02.014

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


  24 in total

1.  Changes in in vivo knee contact forces through gait modification.

Authors:  Allison L Kinney; Thor F Besier; Amy Silder; Scott L Delp; Darryl D D'Lima; Benjamin J Fregly
Journal:  J Orthop Res       Date:  2012-10-01       Impact factor: 3.494

2.  Parametric analysis of electromechanical and fatigue performance of total knee replacement bearing with embedded piezoelectric transducers.

Authors:  Mohsen Safaei; R Michael Meneghini; Steven R Anton
Journal:  Smart Mater Struct       Date:  2017-08-17       Impact factor: 3.585

Review 3.  Knee joint forces: prediction, measurement, and significance.

Authors:  Darryl D D'Lima; Benjamin J Fregly; Shantanu Patil; Nikolai Steklov; Clifford W Colwell
Journal:  Proc Inst Mech Eng H       Date:  2012-02       Impact factor: 1.617

4.  Fine tuning total knee replacement contact force prediction algorithms using blinded model validation.

Authors:  Hannah J Lundberg; Christopher Knowlton; Markus A Wimmer
Journal:  J Biomech Eng       Date:  2013-02       Impact factor: 2.097

5.  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

6.  Design and test of a MEMS strain-sensing device for monitoring artificial knee implants.

Authors:  W Hasenkamp; N Thevenaz; J Villard; A Bertsch; A Arami; K Aminian; A Terrier; P Renaud
Journal:  Biomed Microdevices       Date:  2013-10       Impact factor: 2.838

7.  Force detection, center of pressure tracking, and energy harvesting from a piezoelectric knee implant.

Authors:  Mohsen Safaei; R Michael Meneghini; Steven R Anton
Journal:  Smart Mater Struct       Date:  2018-09-25       Impact factor: 3.585

8.  Fabrication and selection of surrogate knee implant bearings for experimental evaluation of embedded in-vivo sensors.

Authors:  Robert I Ponder; Mohsen Safaei; Steven R Anton
Journal:  J Mech Behav Biomed Mater       Date:  2018-12-18

9.  Design and analysis of a compliant 3D printed energy harvester housing for knee implants.

Authors:  Geofrey Yamomo; Nabid Hossain; Shahrzad Towfighian; Ryan Willing
Journal:  Med Eng Phys       Date:  2021-01-04       Impact factor: 2.242

Review 10.  Biomedical Implants with Charge-Transfer Monitoring and Regulating Abilities.

Authors:  Donghui Wang; Ji Tan; Hongqin Zhu; Yongfeng Mei; Xuanyong Liu
Journal:  Adv Sci (Weinh)       Date:  2021-06-24       Impact factor: 16.806

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