Papers › HermEIS: A Parallel Multichannel Approach to Rapid Spectral Characterization of Neural MEAs
HermEIS: A Parallel Multichannel Approach to Rapid Spectral Characterization of Neural MEAs
Akwasi Akwaboah, Ralph Etienne-Cummings
The promise of increasing channel counts in high density (> 10⁴) 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 \textit{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 - 5×10⁴ 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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