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    This study enhances low-power communication for cortical implants using Pulse Harmonic Modulation (PHM). Improvements include error-correcting codes and multi-level modulation to boost data rates and reliability in neural interfaces.

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    Area of Science:

    • Biomedical Engineering
    • Communication Systems
    • Neural Engineering

    Background:

    • Low-power communication is crucial for interfacing with cortical implants.
    • Mutual inductance links are a common method for wireless power and data transfer.
    • Existing Pulse Harmonic Modulation (PHM) systems require optimization for higher throughput.

    Purpose of the Study:

    • To optimize the performance of a mutual-inductance link using the Pulse Harmonic Modulation (PHM) method.
    • To investigate enhancements for increased data throughput in PHM systems for neural implants.
    • To analyze the impact of error-correcting codes and multi-level modulation on system robustness and data rate.

    Main Methods:

    • Implemented a low-power error-correcting code to enhance robustness against noise and jitter.
    • Adapted the PHM system for multi-level modulation to increase data rates.
    • Characterized the bit error rate (BER) under varying conditions of pulse jitter, power interference, and comparator offset.

    Main Results:

    • The addition of error-correcting codes significantly improved system resilience to non-ideal factors.
    • Multi-level modulation demonstrated a potential for increased data throughput.
    • Detailed performance characterization of the enhanced PHM system was achieved.

    Conclusions:

    • The proposed enhancements offer a viable strategy for improving communication efficiency in cortical implant systems.
    • Optimized PHM with error correction and multi-level modulation can lead to more reliable and higher-bandwidth neural interfaces.
    • Further research can explore advanced modulation schemes and coding for next-generation brain-computer interfaces.