Dynamic 3D MR Visualization and Detection of Upper Airway Obstruction during Sleep using Region Growing Segmentation
We demonstrate a novel approach for improving the workflow associated with MRI-based visualization of upper airway dynamics in obstructive sleep apnea. The method uses 3D region growing to segment dynamic 3D MRI data of pharyngeal airway. We report dice coefficients of 0.84-0.94 and collapse detection accuracy of 83%.
An Open-Source Toolbox for Surrogate Modeling of Joint Contact Mechanics
We present an open-source toolbox that facilitates the creation and deployment of surrogate models of elastic joint contact. The surrogate models created with the toolbox are meant to replace slow and/or discontinuous elastic foundation or finite element joint contact models, allowing for faster and more robust simulations and optimizations.
Special Issue – BRAIN
Welcome to the BRAIN Special Issue! It consists of a group of 22 articles addressing the grand challenges in BRAIN: Brain Research through Advancing Innovative Neurotechnologies. These articles reflect a rich spectrum of BRAIN research on neurotechnologies for recording, imaging, interfacing and modulating the brain at multiple scales.
Close-Packed Silicon Microelectrodes for Scalable Spatially Oversampled Neural Recording
Neural recording electrodes are important tools for understanding neural codes and brain dynamics. Here we present the design and implementation of close-packed silicon microelectrodes, to enable scalable spatially oversampled recording of neural activity, which facilitates data analysis. Our probes are fabricated in a dense array of recording sites connected to submicron dimension wiring…
EEG Source Imaging Enhances the Decoding of Complex Right Hand Motor Imagery Tasks
We extend previous EEG source imaging (ESI) work to decode four natural MI tasks of the right hand that may be utilized for realistic and intuitive BCI control. We report an increase of up to 18.6% for individual task classification, and an increase of 12.7% for the overall classification using the proposed ESI approach over the traditional sensor-based method.
A Wireless Fully-Passive Neural Recording Device for Unobtrusive Neuropotential Monitoring
Brain implant technology has a strong potential to improve the individual’s well-being. However, current brain implants lack the safety and reliability required for unobtrusive, long-term monitoring of neuropotentials. In this work, we propose a novel technology for safe and reliable neuropotential recorders…