Multi-channel Neural Signal Recording System for an Implantable Brain-Computer Interface

Area of Science:

• Neuroscience
• Biomedical Engineering
• Signal Processing

Background:

• Understanding brain mechanisms requires simultaneous, long-term, and safe neural recordings.
• Advancements in brain-computer interfaces (BCIs) depend on high-channel-count neural data acquisition.
• Existing systems may lack the scalability and resolution for comprehensive brain activity analysis.

Purpose of the Study:

• To present a novel multi-channel neural signal recording system capable of acquiring up to 2048 channels.
• To facilitate long-term, large-scale neural recordings for brain research and BCI development.
• To demonstrate a modular and adaptable system for diverse neural recording applications.

Main Methods:

• Development of a modular system comprising a sensor array, central controller, and upper computer module.
• Utilizing a customized collection system for multi-channel signal integration.
• Implementing a single-channel data acquisition module with 16-bit resolution and 30 kSamples/s sampling rate.
• Employing modular design for adjustable channel configurations.

Main Results:

• Successful design and implementation of a 2048-channel neural signal recording system.
• Demonstration of modularity by varying the number of sensor channels.
• Verification of system performance using analog neural signals for multi-channel data acquisition.
• The system effectively displays recorded neural data via the upper computer module.

Conclusions:

• The presented system offers a scalable solution for high-density neural recordings.
• This technology supports deeper insights into brain function and accelerates BCI innovation.
• The modular design ensures flexibility for future research and clinical applications.