Requirements and Design of an Implant for Electrical Stimulation for Bone Regeneration in Animals

Plocksties, Franz; Niemann, Christoph; Bader, Rainer; Mows, Fabian; Seitz, Hermann; Kämmerer, Peer W.; Dau, Michael; Kamp, Volker; Heller, Jakob; Timmermann, Dirk

doi:10.1109/lifetech48969.2020.1570619159

Cited by 3 publications

(4 citation statements)

References 7 publications

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“…For intermittent regimes, such as those proposed for the stimulation of bone growth [ 18 , 70 ], energy can be accumulated during the day and provided for the required periods. This is illustrated by the recently proposed implantable electrical stimulation unit for bone regeneration in the mandible [ 71 ]. The estimated power consumption for the low power mode was 0.17 mW and was increased to 0.67 to 2.56 mW during stimulation [ 71 ].…”

Section: Discussionmentioning

confidence: 99%

“…This is illustrated by the recently proposed implantable electrical stimulation unit for bone regeneration in the mandible [ 71 ]. The estimated power consumption for the low power mode was 0.17 mW and was increased to 0.67 to 2.56 mW during stimulation [ 71 ]. The mentioned power levels were not reached with our design at hand and were provided for the classification of our results in a broader context.…”

Section: Discussionmentioning

confidence: 99%

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Performance of a Piezoelectric Energy Harvesting System for an Energy-Autonomous Instrumented Total Hip Replacement: Experimental and Numerical Evaluation

et al. 2021

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Instrumented implants can improve the clinical outcome of total hip replacements (THRs). To overcome the drawbacks of external energy supply and batteries, energy harvesting is a promising approach to power energy-autonomous implants. Therefore, we recently presented a new piezoelectric-based energy harvesting concept for THRs. In this study, the performance of the proposed energy harvesting system was numerically and experimentally investigated. First, we numerically reproduced our previous results for the physiologically based loading situation in a simplified setup. Thereafter, this configuration was experimentally realised by the implantation of a functional model of the energy harvesting concept into an artificial bone segment. Additionally, the piezoelectric element alone was investigated to analyse the predictive power of the numerical model. We measured the generated voltage for a load profile for walking and calculated the power output. The maximum power for the directly loaded piezoelectric element and the functional model were 28.6 and 10.2 µW, respectively. Numerically, 72.7 µW was calculated. The curve progressions were qualitatively in good accordance with the numerical data. The deviations were explained by sensitivity analysis and model simplifications, e.g., material data or lower acting force levels by malalignment and differences between virtual and experimental implantation. The findings verify the feasibility of the proposed energy harvesting concept and form the basis for design optimisations with increased power output.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Performance of a Piezoelectric Energy Harvesting System for an Energy-Autonomous Instrumented Total Hip Replacement: Experimental and Numerical Evaluation

et al. 2021

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“…This is required to model the electrostimulating setup precisely, enabling cooperation partners to design the electrostimulating circuitry appropriately. The aforementioned aspect is particularly crucial since the stimulator, along with its electronics, requires designing for a specific impedance range [27]. As a result, it can only deliver a limited amount of current.…”

Section: Discussionmentioning

confidence: 99%

“…In this context, variations in tissue dielectric properties and electrode-tissue interface (ETI) parameters can significantly affect the success of stimulation in terms of the volume of stimulated tissue. These variations also provide important constraints for the dimensioning of the necessary stimulation units [27], as they affect the current required to drive the stimulation signal. Our studies provide optimized electrode parameters based on our own measurement data, including a low-frequency correction, and identify the most influential input parameters through uncertainty quantification.…”

Section: Introductionmentioning

confidence: 99%

Addressing Model Uncertainties in Finite Element Simulation of Electrically Stimulated Implants for Critical-Size Mandibular Defects

Raben,

Kämmerer,

Rienen

2024

Preprint

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Objective: Electrical stimulation is known to enhance bone healing. Novel electrostimulating devices are currently being developed for the treatment of critical-size bone defects in the mandible. Previous numerical models of these devices did not account for possible uncertainties in the input data. We present the numerical model of an electrically stimulated minipig mandible, including optimization and uncertainty quantification (UQ) methods that allow us to determine the most influential parameters. Methods: Uncertainties in the optimized finite element model are quantified using the polynomial chaos method that is implemented in the open-source Python toolbox Uncertainpy. The volumes of understimulated, beneficially stimulated, and overstimulated tissue are considered quantities of interest because they may significantly impact the expected healing success. Further, the current is a substantial quantity, limiting the lifetime of a battery-driven stimulation unit. With sensitivity analyses, the most critical parameters in the numerical model can be identified. Thus, we can learn which parameters are particularly relevant, for example, when conceptualizing the stimulation unit or planning the manufacturing process. Results: The results of this study show that the parameters of the electrodetissue interface (ETI), as well as the conductivity within the defect volume, have the most significant impact on the model results. Conclusions: The UQ results suggest that careful characterization of the ETI and the dielectric tissue properties is crucial to reduce these uncertainties. Significance: The numerical model regarding uncertainties yields important implications for reliable implant design and clinical translation.

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Addressing Model Uncertainties in Finite Element Simulation of Electrically Stimulated Implants for Critical-Size Mandibular Defects

Raben,

Kämmerer,

van Rienen

2024

IEEE Trans. Biomed. Eng.

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Requirements and Design of an Implant for Electrical Stimulation for Bone Regeneration in Animals

Cited by 3 publications

References 7 publications

Performance of a Piezoelectric Energy Harvesting System for an Energy-Autonomous Instrumented Total Hip Replacement: Experimental and Numerical Evaluation

Performance of a Piezoelectric Energy Harvesting System for an Energy-Autonomous Instrumented Total Hip Replacement: Experimental and Numerical Evaluation

Addressing Model Uncertainties in Finite Element Simulation of Electrically Stimulated Implants for Critical-Size Mandibular Defects

Addressing Model Uncertainties in Finite Element Simulation of Electrically Stimulated Implants for Critical-Size Mandibular Defects

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