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A Miniaturized Batteryless and Wireless Biopotential Recorder With Dynamic Bandwidth and Data Rate Update for Power

Roshan Pathitharayil Mathews, Iman Habibagahi, Hamid Jafari Sharemi

    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:

    This work presents a miniaturized, low-power, batteryless, and wireless biopotential recorder capable of dynamic bandwidth and data rate update for efficient operation. Since human biopotential signals have a wide range of bandwidths, tunability in sensing bandwidth and data transmission rate are required. Our proposed automated tuning approach allows for 0.25-10 kHz bandwidth in the analog front-end and 10.5-420 kbps data rate in the transmitter. The nominal power consumption of the SoC at 21 kbps is 32 µW. Furthermore, this setup facilitates adaptive adjustments to the sensing bandwidths and data rates, enabling multi-band sensing when the signal of interest changes over time. Detailed chip verification and in-vivo rodent electrocardiogram (ECG) measurement validate the performance of the sensing node.Clinical relevance- The tight external control over the data rate and sampling frequency in the sensing node not only enhances energy efficiency but also allows for adaptive adjustments in amplifier bandwidths. Such adaptability is particularly advantageous in neural recording applications, where different neural signals-such as local field potentials (LFPs) and action potentials (APs)-require distinct bandwidths for optimal capture. By dynamically tuning the amplifier characteristics, the system can selectively focus on specific neural signals of interest over time, facilitating high-fidelity recordings while minimizing power consumption.

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