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Bioelectric Analyses of an Osseointegrated Intelligent Implant Design System for Amputees
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An Investigation of Body-Coupled Power Transfer for Multiple Implants

Cheng Han, Chuer Lin, Shan Yu

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed

    Abstract:

    The distributed neural interface demonstrates significant potential for effective disease treatments, where the power supply is a critical challenge to be addressed. The body-coupled power transfer (BCP) emerges as a flexible and efficient solution that allows electrode misalignment and supports longer transmission distances. However, the use of BCP to power fully implantable multiple implants has not been sufficiently explored. This paper utilizes electromagnetic simulations and practical experiments to observe the inter-effect of multi-nodes on their respective path gain. Two types of BCP (galvanic coupling and capacitive coupling) are studied, and their performance is compared across three implanted nodes. The results demonstrate that BCP can effectively power multiple implanted receivers with minimal mutual interference, which provides essential insights for its implementation in distributed neural interfaces.

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    Maximum Power Transfer01:16

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    Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
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