A portable cortical evoked potential operant conditioning system (C-EPOCS): System development
This study presents customizations and evaluations aimed at adapting the Cortical-Evoked Potential Operant Conditioning System (C-EPOCS) into a portable, user-friendly platform for real-time neurofeedback applications. A primary goal was to simplify the component-heavy setup by integrating electroencephalography (EEG) and electromyography (EMG) data acquisition into a single system-while still supporting cortical and muscle response assessment and real-time feedback. One key limitation of portable biosignal acquisition systems is their typically lower sampling rates (e.g., 300-600 Hz) compared to high-resolution systems (e.g., 3200 Hz), which are commonly used for detecting transient responses such as the H-reflex and M-wave. In a C-EPOCS setup, these responses are useful for determining the target stimulation intensity and minimizing inter-session variability in effective afferent excitation. We evaluated whether lower-resolution EMG signals could still support the generation of H-reflex and M-wave recruitment curves for determining target stimulation intensity. Results showed that while EMG sampled at ~600 Hz and ~300 Hz produced greater dispersion in recruitment curve data-particularly at 300 Hz-they still yielded comparable estimates for stimulation intensities that elicit H<sub>max</sub> and M<sub>threshold</sub>, the key parameters for C-EPOCS. Additionally, we demonstrate the feasibility of using an automated response delineation algorithm under these conditions. Despite reduced signal clarity, the algorithm reliably identifies M-wave and H-reflex responses in real time. Overall, this study demonstrates the feasibility of a portable C-EPOCS system capable of providing immediate feedback based on both EMG and EEG signals. It also offers practical recommendations for selecting acquisition hardware to support reliable signal quality, real-time processing, and portability.
Authors
- Helia Mojtabavi (ORCID: https://orcid.org/0000-0001-9747-7216)
- N. Jeremy Hill (ORCID: https://orcid.org/0000-0002-4253-6976)
- Jodi Brangaccio (ORCID: https://orcid.org/0000-0002-8606-0789)
- Disha Gupta (ORCID: https://orcid.org/0000-0003-2139-8559)
Institutions
- Neurotech (United States) (US)
- Adaptive Biotechnologies (United States) (US)
- Albany Stratton VA Medical Center Albany (US)
Publication Details
- Journal
- bioRxiv (Cold Spring Harbor Laboratory)
- Published
- 2026-01-09
- DOI
- https://doi.org/10.64898/2026.01.08.698448
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- U.S. Department of Veterans Affairs
- National Institutes of Health
- National Institute of Biomedical Imaging and Bioengineering