Robust Empirical Bayesian Reconstruction of Distributed Sources for Electromagnetic Brain Imaging


Electromagnetic brain imaging uses non-invasive recordings of magnetic fields and electric potentials to reconstruct brain activity. The estimation of the quantity, location, and time course of sources, particularly for the reconstruction of scattered brain sources with complicated spatial extent, is an ongoing issue in this imaging modality. Kernel smoothing and hyperparameter tiling are two of the major principles in this new robust empirical Bayesian technique that can better reconstruct scattered brain source activity. Smooth Champagne is the name given to the proposed algorithm since it incorporates many of the performance features of the sparse source reconstruction technique Champagne. Smooth Champagne is able to withstand high amounts of noise, interference, and strongly linked brain activity. Smooth Champagne outperforms benchmark techniques in detecting the geographical extent of scattered source activity in simulations. Also, the MEG and EEG data are accurately reconstructed using Smooth Champagne.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :Robust, Efficient Depth Reconstruction with Hierarchical Confidence-Based Matching - 2017ABSTRACT:In recent years, taking photos and capturing videos with mobile devices became increasingly standard. Emerging applications
PROJECT TITLE :Equivalent Electromagnetic Transient Simulation Model and Fast Recovery Control of Overhead VSC-HVDC Based on SB-MMC - 2017ABSTRACT:Self-blocking modular multilevel converter (SB-MMC) is able to dam dc fault current
PROJECT TITLE :Assessing Electromagnetic Radiation in our EnvironmentABSTRACT:A variety of wireless networks have surrounded us for the availability of ubiquitous communication services. While the earliest communication infrastructure
PROJECT TITLE :Combined Effect of Bistability and Mechanical Impact on the Performance of a Nonlinear Electromagnetic Vibration Energy HarvesterABSTRACT:This paper presents the look, modeling, fabrication, and characterization
PROJECT TITLE :Analytical Tools for Investigating Stability and Power Generation of Electromagnetic Vibration Energy HarvestersABSTRACT:This paper presents a general linear methodology for analyzing how the choice of electrical

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry