NeuroTest: a benchtop testbed for evaluating sensing-capable electrophysiology and neurostimulation systems
- 1Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, Unites States of America
- 2Department of Neurological Surgery, University of Washington, Seattle, WA, Unites States of America
- 3Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom
Abstract
Objective. The development of increasingly complex implantable neuromodulation devices requires extensive benchtop validation and testing prior to in vivo implementation. Our goal is to enable this in vitro testing by creating a benchtop system that is accessible, easy-to-use, and functions reliably across academic and industry environments, reducing discordant results that arise from discordant approaches. Furthermore, such a system paves the way for standardizing benchtop characterization of future implantable systems by establishing a repeatable and comparable methodology for validating these devices and their capabilities. Approach. We describe the NeuroTest Board (NTB), a low-cost, open-source device that combines a low-noise current source waveform generator with a high-precision data acquisition system. We provide information on its architecture, operation, and performance as an initial benchmark of the potential capabilities of the system. Main results. We demonstrate the use of the NTB to assess electrophysiology systems in two separate applications. In one case, we assess a commonly used laboratory system (the RHD2132 digitizing headstage and Open Ephys data acquisition system), while the second case characterizes an investigational neuromodulation device in development for human use (the CorTec Brain InterChange). Following this initial sensing characterization, we explore stimulation-related artifacts that would hamper in vivo data collection. With the NTB, we develop and evaluate artifact mitigation strategies for each system, thus demonstrating an example application of this benchtop testbed. Significance. The ability to test neuromodulation devices against a common benchmark will enable faster development of novel therapeutics by increasing inter-institutional reliability and decreasing troubleshooting time.
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BibTeX
@article{morrow2026neurotest,
title = {{NeuroTest: a benchtop testbed for evaluating sensing-capable electrophysiology and neurostimulation systems}},
author = {Morrow JK and H Cho and M Benjaber and Denison TJ and Widge AS and Herron JA},
journal = {Journal of Neural Engineering},
year = {2026},
month = nov,
doi = {10.1088/1741-2552/aeb82d},
url = {https://doi.org/10.1088/1741-2552/aeb82d},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - NeuroTest: a benchtop testbed for evaluating sensing-capable electrophysiology and neurostimulation systems
AU - Morrow JK
AU - H Cho
AU - M Benjaber
AU - Denison TJ
AU - Widge AS
AU - Herron JA
PY - 2026
DA - 2026/11/04
JO - Journal of Neural Engineering
DO - 10.1088/1741-2552/aeb82d
UR - https://doi.org/10.1088/1741-2552/aeb82d
AB - Objective. The development of increasingly complex implantable neuromodulation devices requires extensive benchtop validation and testing prior to in vivo implementation. Our goal is to enable this in vitro testing by creating a benchtop system that is accessible, easy-to-use, and functions reliably across academic and industry environments, reducing discordant results that arise from discordant approaches. Furthermore, such a system paves the way for standardizing benchtop characterization of future implantable systems by establishing a repeatable and comparable methodology for validating these devices and their capabilities. Approach. We describe the NeuroTest Board (NTB), a low-cost, open-source device that combines a low-noise current source waveform generator with a high-precision data acquisition system. We provide information on its architecture, operation, and performance as an initial benchmark of the potential capabilities of the system. Main results. We demonstrate the use of the NTB to assess electrophysiology systems in two separate applications. In one case, we assess a commonly used laboratory system (the RHD2132 digitizing headstage and Open Ephys data acquisition system), while the second case characterizes an investigational neuromodulation device in development for human use (the CorTec Brain InterChange). Following this initial sensing characterization, we explore stimulation-related artifacts that would hamper in vivo data collection. With the NTB, we develop and evaluate artifact mitigation strategies for each system, thus demonstrating an example application of this benchtop testbed. Significance. The ability to test neuromodulation devices against a common benchmark will enable faster development of novel therapeutics by increasing inter-institutional reliability and decreasing troubleshooting time.
SN - 1741-2560
SN - 1741-2552
ER -