Towards Automating Multi-Sample Electrical Impedance Data Collection with an Analog Discovery 2 Instrument
Combined hardware and software tools (or platforms) to measure electrical impedance over time are limited in functionality and availability. This is a serious barrier for studies of biological tissue impedance across conditions, time-scales, and with sufficient samples to generalize results. To address these limitations, hardware and software to measure electrical impedance using an Analog Discovery 2 instrument was developed. The hardware controls a relay system to collect bipolar measurements of up to 16 samples. The platform was validated by collecting experimental measurements (10 Hz to 100 kHz) from a resistor, capacitor, 2R-1C model, and Pea plant (Pisium sativum L.) as loads. The median magnitude deviations for these loads were 0.034%, 0.667%, 0.062%, and 9.56% respectively. A pilot graphical user interface was demonstrated to control the Analog Discovery 2 instrument and report collected data. The software and hardware functionality were validated and highlight how these could provide a platform to support further research automation for impedance studies.
Authors
- Todd J. Freeborn (ORCID: https://orcid.org/0000-0001-9979-7301)
- Karen Lim (ORCID: https://orcid.org/0000-0002-2767-1651)
- Norbert Herencsár (ORCID: https://orcid.org/0000-0002-9504-2275)
- Jacob A. Tomberg
Institutions
- University of Alabama (US)
- Brno University of Technology (CZ)
Publication Details
- Published
- 2025-03-22
- DOI
- https://doi.org/10.1109/southeastcon56624.2025.10971675
- Primary Topic
- Neural Networks and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation