A portable device for recording evoked potentials, optimized for pattern ERG

Area of Science:

• Neuroscience
• Biomedical Engineering
• Ophthalmology

Background:

• Non-invasive neural function assessment is crucial for understanding neurological and visual pathways.
• The pattern electroretinogram (PERG) is a key technique for evaluating retinal ganglion cell function.
• Existing PERG systems are often expensive, complex, and lack portability, limiting their widespread use.

Purpose of the Study:

• To design and validate a simple, cost-effective, and portable steady-state PERG system.
• To enable accessible electrophysiological recordings for research and education.

Main Methods:

• Development of a steady-state PERG system utilizing an Arduino microcontroller and a custom amplifier shield.
• Digitization of electrophysiological signals by the Arduino for computer-based stimulus presentation, recording, and analysis.
• System calibration and testing for accuracy and sensitivity.

Main Results:

• The developed system successfully recorded PERG signals with high accuracy.
• Achieved a sensitivity threshold as low as 0.5 microvolts, demonstrating robust signal detection.
• The device's modular design allows for adaptation to other evoked potential recordings.

Conclusions:

• The Arduino-based PERG system offers a simple, affordable, and portable solution for non-invasive neural function assessment.
• This technology can democratize access to electrophysiological research tools, particularly in resource-limited settings and educational environments.
• The system's versatility supports broader applications in neuroscience and ophthalmology research.