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Miniaturized Wirelessly Powered and Controlled Implants for Multisite Stimulation.

Iman Habibagahi1, Jaeeun Jang1, Aydin Babakhani1

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Summary

This study introduces a tiny, 14mm implantable device with a novel System on Chip (SoC) for dual-voltage nerve stimulation. It enables synchronized therapy for up to 16 implants, demonstrating efficient wireless power and control.

Keywords:
CMOS RF designRF system-on-chip (SOC) integrationbiological effects and medical applicationsdata recoverylow power RFIC designoptimizationpower transmission

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Area of Science:

  • Biomedical Engineering
  • Implantable Devices
  • Neuromodulation

Background:

  • Miniaturized implantable devices are crucial for advanced neuromodulation therapies.
  • Efficient wireless power and control are key challenges for multi-implant systems.

Purpose of the Study:

  • To present a novel, miniaturized implantable device with an integrated System on Chip (SoC).
  • To enable dual-voltage stimulation and addressable control for multiple implants wirelessly.
  • To demonstrate the efficacy of bilateral vagus nerve stimulation (VNS) using the developed system.

Main Methods:

  • Developed a 14mm diameter implant housing a novel SoC in 180nm CMOS technology.
  • Implemented wireless power transfer via an inductive resonant link with a single Tx coil.
  • Designed the SoC for dual-voltage (1.8V, 3.3V) stimulation with 100μs timing resolution and low static power (27μW).
  • Incorporated individual addressability via PCB-defined passcodes for synchronized therapies.

Main Results:

  • Achieved wireless operation up to 80mm with 70° angular misalignment tolerance at 50mm.
  • The SoC (0.75mm x 1.6mm) demonstrated low static power consumption and precise stimulation control.
  • Successfully performed bilateral VNS in a porcine model, monitoring heart rate to verify efficacy.

Conclusions:

  • The miniaturized implant and novel SoC offer a robust platform for multi-implant, synchronized neuromodulation.
  • The system provides efficient wireless power, precise control, and demonstrated efficacy in a relevant in-vivo model.
  • This technology holds promise for advanced, personalized therapeutic interventions requiring precise neural stimulation.