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Updated: May 21, 2026
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The Evoked Potential Operant Conditioning System (EPOCS): A Research Tool and an Emerging Therapy for Chronic Neuromuscular Disorders
Published on: August 25, 2022
A portable closed-loop platform enabling cortical evoked potential operant conditioning: system development and
Disha Gupta1,2, Jodi Ann Brangaccio1, Helia Mojtabavi1
1National Center for Adaptive Neurotechnologies, Stratton Veterans Affairs Medical Center, Albany, NY, USA.
Biomedical Physics & Engineering Express
|May 19, 2026
Summary
This study adapted a cortical evoked potential system for portable neurofeedback. Lower sampling rates still provide reliable data for rehabilitation applications, enabling real-time feedback for brain and spinal injury recovery.
Area of Science:
- Biomedical Engineering
- Neuroscience
- Rehabilitation Technology
Background:
- Cortical evoked potential (CEP) operant conditioning platforms are effective but often component-heavy.
- Portable, user-friendly neurofeedback systems are needed for real-time rehabilitation applications.
- Lower sampling rates in portable systems may impact the detection of transient muscle and reflex responses.
Purpose of the Study:
- To adapt a CEP closed-loop platform into a portable, integrated system for real-time neurofeedback.
- To evaluate the usability of lower-resolution biosignal acquisition for neurofeedback applications.
- To provide recommendations for hardware selection in portable neurofeedback systems.
Main Methods:
- Integrated components to reduce system footprint while maintaining data acquisition quality.
- Evaluated lower sampling rate (300-600 Hz) biosignals against higher-resolution (3200 Hz) signals.
- Assessed automated response delineation for analyzing post-injury data under lower sampling conditions.
Main Results:
- Lower-resolution signals, despite data dispersion, provided comparable estimates of recruitment curve components.
- Automated response delineation was demonstrated as usable under lower sampling rates.
- The study confirmed the feasibility of a compact, closed-loop system for real-time evoked response feedback.
Conclusions:
- A portable, integrated closed-loop system for real-time neurofeedback using brain and muscle evoked responses is feasible.
- Lower sampling rates are viable for recruitment curve estimation in this context.
- Practical recommendations for hardware selection support reliable signal quality, processing, and portability for rehabilitation.
