Neural silences can be localized rapidly using noninvasive scalp EEG
A rapid and cost-effective noninvasive tool to detect and characterize neural silences can be
of important benefit in diagnosing and treating many disorders. We propose an algorithm …
of important benefit in diagnosing and treating many disorders. We propose an algorithm …
IRIS: a modular platform for continuous monitoring and caretaker notification in the intensive care unit
Objective: New approaches are needed to interpret large amounts of physiologic data
continuously recorded in the ICU. We developed and prospectively validated a versatile …
continuously recorded in the ICU. We developed and prospectively validated a versatile …
Automated, Scalable and Generalizable Deep Learning for Tracking Cortical Spreading Depression Using EEG
We present a non-invasive deep learning approach for tracking cortical spreading
depressions (CSDs) in scalp electroencephalography (EEG) signals. Our method, which we …
depressions (CSDs) in scalp electroencephalography (EEG) signals. Our method, which we …
A machine learning enabled wireless intracranial brain deformation sensing system
A leading cause of traumatic brain injury (TBI) is intracranial brain deformation due to
mechanical impact. This deformation is viscoelastic and differs from a traditional rigid …
mechanical impact. This deformation is viscoelastic and differs from a traditional rigid …
Noninvasive, automated and reliable detection of spreading depolarizations in severe traumatic brain injury using scalp EEG
Background Noninvasive detection of spreading depolarizations (SD), as a potentially
treatable mechanism of worsening brain injuries after traumatic brain injuries (TBI), has …
treatable mechanism of worsening brain injuries after traumatic brain injuries (TBI), has …