Related Experiment Video
Updated: May 14, 2026
08:30
Subdural Soft Electrocorticography (ECoG) Array Implantation and Long-Term Cortical Recording in Minipigs
Published on: March 31, 2023
125Mbps ultra-wideband system evaluation for cortical implant devices
Yi Luo1, Chris Winstead, Patrick Chiang
1Department of Electrical and Computer Engineering, UMC 4120, Utah State University, Logan, UT 84322, USA.
Summary
This study shows that Impulse Radio Ultra-Wideband (IR-UWB) systems can achieve high data rates for cortical implants, even with low-quality inductive coils, thanks to error correction. This makes IR-UWB a promising technology for advanced brain-computer interfaces.
Area of Science:
- Biomedical Engineering
- Electrical Engineering
- Neuroscience
Background:
- Cortical implant devices require high data rates for advanced functionality.
- Existing wireless communication systems face challenges in achieving reliable, high-speed data transmission within the body.
Purpose of the Study:
- To evaluate the performance of a 125Mbps Impulse Radio Ultra-Wideband (IR-UWB) system for cortical implant applications.
- To analyze design tradeoffs including signal amplitude, reliability, noise, and clock jitter.
- To assess the feasibility of using low-Q inductive coil links for near-field data transmission.
Main Methods:
- Modeling an IR-UWB system using parameters from a 90nm-CMOS UWB transceiver.
- Simulating a near-field channel with non-optimized, low-Q inductive coupling coils.
- Employing On-Off Keying (OOK) modulation with a convolutional error correcting code.
Main Results:
- Low-Q coils reduce received pulse amplitude but do not prevent acceptable system performance.
- Error correction is crucial for maintaining data integrity despite signal degradation.
- The IR-UWB system demonstrated robustness in the simulated near-field environment.
Conclusions:
- IR-UWB is a viable candidate for high data rate wireless communication in cortical implant devices.
- Error correction techniques significantly enhance the reliability of UWB systems with suboptimal components.
- The findings support the potential of UWB technology for future neural interface development.