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A miniaturized and low-energy subcutaneous optical telemetry module for neurotechnology
Zhangyu Xu1, Nhan Duy Truong1,2, Armin Nikpour3,4
1University of Sydney, School of Biomed Engineering, Sydney, NSW 2006, Australia.
Journal of Neural Engineering
|April 28, 2023
Summary
This study introduces a compact optical telemetry module for high-speed, low-power data transmission from neural implants. It achieves 108 Mbit/s data rates with minimal power consumption, enabling miniaturized neurotechnology.
Area of Science:
- Biomedical Engineering
- Neurotechnology
- Optical Communications
Background:
- High-speed data transmission from neural implants is crucial for advanced neuroprosthetics.
- Current telemetry solutions face challenges with size, power consumption, and data rate limitations.
- Miniaturization of implantable devices is essential for patient comfort and reduced invasiveness.
Purpose of the Study:
- To develop and demonstrate a proof-of-concept optical telemetry module for neural implants.
- To achieve high bit-rate data transmission with low power consumption and a small form factor.
- To enable reliable bidirectional communication between implantable and external units.
Main Methods:
- Utilized a single light-emitting diode (LED) for optical data transmission.
- Implemented near-field coupling for power and low-speed downlink communication.
- Designed the module for bidirectional communication and tested with varying tissue thicknesses (3mm and 8mm).
Main Results:
- Achieved back telemetry data rates of 108 Mbit/s (3mm tissue) and 54 Mbit/s (8mm tissue).
- Demonstrated low power consumption of 1.57 mW and high efficiency of 14.5 pJ/bit at 108 Mbit/s.
- The implantable LED module is exceptionally small (0.98 × 0.98 × 0.6 mm³) and robust to misalignment (±5 mm, ±15°).
Conclusions:
- The optical telemetry module successfully balances miniaturization, reliability, and high-bit-rate data uplink.
- This technology has the potential for integration into significantly smaller systems via application-specific integrated circuits.
- The module can support up to 1000 neural recording channels, paving the way for advanced brain-computer interfaces.

