Published March 22, 2025
| Version v1
Dataset
Open
Data for: Prediction of Impedance Characteristic during Electrical Stimulation with Microelectrode Arrays
Authors/Creators
Description
Data and code for the paper: "Prediction of impedance characteristic during electrical stimulation with microelectrode arrays"
Data overview:
- FEM simulations: In FEM_simulations.zip, all code and ParaView files to reproduce the visulations can be found.
- Electrochemical impedance scpectroscopy data: in EIS_measurement.zip, all data and fitting scripts to process the EIS data are deposited.
- Transient measurements and results of processing: this data is required to reproduce the figures in the paper. It is deposited in ReviewJNE_ImpedanceData.zip. Please use the denspp.stimulation code to process it and follow the README deposited with the code.
- denspp.stimulation code: The code repository at the time of the paper publication is attached in denspp.stimulation.zip. Please refer to the README inside there to process the data and generate the plots shown in the paper.
Code:
The code for processing the voltage and current transients is actively developed on GitHub, please open an issue there if you encounter problems or have questions.
The FEM simulations were conducted with NGSolve, install it via pip (pip install ngsolve==6.2.2307).
Files
denspp.stimulation-main.zip
Additional details
Related works
- Is supplement to
- Journal article: 10.1088/1741-2552/adc2d5 (DOI)
Funding
- Deutsche Forschungsgemeinschaft
- SFB 1270 ELAINE SFB 1270/1,2 - 299150580
- Deutsche Forschungsgemeinschaft
- Design and implementation of monolithic integrated electronic devices for the control and recording of bidirectional multi-electrode arrays. 143692466
- Deutsche Forschungsgemeinschaft
- GRK 2610: Innovative Retinal interfaces for optimized Artificial Vision - InnoRetVision 424556709
Software
- Repository URL
- https://github.com/AErbsloeh/denspp.stimulation
- Programming language
- Python
- Development Status
- Active