HermEIS: A Parallel Multichannel Approach to Rapid Spectral Characterization of Neural MEAs
arxiv(2024)
摘要
The promise of increasing channel counts in high density (> 10^4) neural
Microelectrode Arrays (MEAs) for high resolution recording comes with the curse
of developing faster characterization strategies for concurrent acquisition of
multichannel electrode integrities over a wide frequency spectrum. To
circumvent the latency associated with the current multiplexed technique for
impedance acquisition, it is common practice to resort to the single frequency
impedance measurement (i.e. Z_1 kHz). This, however, does not offer
sufficient spectral impedance information crucial for determining the capacity
of electrodes at withstanding slow and fast-changing stimulus and recordings.
In this work, we present HermEIS, a novel approach that leverages
single cycle in-phase and quadrature signal integrations for reducing the
massive data throughput characteristic of such high density acquisition
systems. As an initial proof-of-concept, we demonstrate over 6 decades of
impedance bandwidth (5×10^-2 - 5×10^4 Hz) in a parallel
4-channel potentiostatic setup composed of a custom PCB with off-the-shelf
electronics working in tandem with an FPGA.
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