Engineering and TechnologyBioelectronic Medicine
Real-time, neural signal processing for high-density brain-implantable devices
A. M. Sodagar, Y. Khazaei, et al.
High-density intracortical implants promise thousands of channels, but massive recorded data threatens to bottleneck wireless brain microsystems. This review examines the technical challenges of streaming data off implants and surveys on-implant, hardware-efficient digital signal processing methods — including spike detection and extraction, temporal and spatial compression, and spike sorting — to enable low-power, real-time operation. This research was conducted by Amir M. Sodagar, Yousef Khazaei, Mahdi Nekoui, and MohammadAli Shaeri.
Related Publications
Explore these studies to deepen your understanding
Adjacent work that informs or extends this paper's methodology and findings.
Medicine and Health
A deep unrolled neural network for real-time MRI-guided brain intervention
Z. He, Y. Zhu, et al.
Engineering and Technology
Wide-range and high-accuracy wireless sensor with self-humidity compensation for real-time ammonia monitoring
W. Lv, J. Yang, et al.
Psychology
Handwriting but not typewriting leads to widespread brain connectivity: a high-density EEG study with implications for the classroom
F. R. (. V. D. Weel and A. L. H. V. D. Meer
Medicine and Health
Fully implantable and battery-free wireless optoelectronic system for modulable cancer therapy and real-time monitoring
K. Kim, I. S. Min, et al.
