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.
Medicine and Health
3D high-density microelectrode array with optical stimulation and drug delivery for investigating neural circuit dynamics
H. Shin, S. Jeong, et al.
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.
Chemistry
A deep convolutional neural network for real-time full profile analysis of big powder diffraction data
H. Dong, K. T. Butler, et al.
