Injectable Ultrasonic Sensor for Wireless Monitoring of Intracranial Signals

Injectable Ultrasonic Sensor for Wireless Monitoring of Intracranial Signals

Wireless Injectable Ultrasound Sensor for Intracranial Signal Monitoring Background Introduction Direct and accurate monitoring of intracranial physiological conditions is extremely important for injury classification, prognosis assessment, and disease prevention. However, traditional wired clinical devices, such as percutaneous leads, although per...

Feasibility of Endovascular Stimulation of the Femoral Nerve Using a Stent-Mounted Electrode Array

Feasibility of Intravascular Femoral Nerve Stimulation using a Stent Electrode Array In recent years, electrical stimulation of peripheral nerves has gained attention as a potential therapeutic approach for restoring impaired nerve function. Traditional electrode arrays typically require invasive surgical implantation, which imposes a significant b...

Bayesian Estimation of Group Event-Related Potential Components: Testing a Model for Synthetic and Real Datasets

Background Introduction The study of Event-Related Potentials (ERPs) provides important information about brain mechanisms, particularly in elucidating various psychological processes. In these studies, multi-channel electroencephalograms (EEGs) are typically recorded while subjects perform specific tasks, and the trials are categorized based on st...

Neuronal Functional Connectivity is Impaired in a Layer-dependent Manner Near Chronically Implanted Intracortical Microelectrodes in C57BL/6 Wildtype Mice

Layer-Dependent Effects of Chronic Neural Electrode Implants on Neural Functional Connectivity in Mice Introduction This study explores the long-term effects of chronically implanted microelectrodes on neural functional connectivity within the brains of C57BL6 wild-type mice. Implanted intracerebral electrodes enable the recording and electrical st...

Topology of Surface Electromyogram Signals: Hand Gesture Decoding on Riemannian Manifolds

Topology of Surface Electromyography Signals: Decoding Hand Gestures Using Riemannian Manifolds This paper is authored by Harshavardhana T. Gowda (Department of Electrical and Computer Engineering, University of California, Davis) and Lee M. Miller (Center for Mind and Brain Sciences, Department of Neurophysiology and Behavior, Department of Otolar...