Computationally Efficient Algorithms for Sparse, Dynamic Solutions to the EEG Source Localization Problem
Micromagnetic Stimulation of the Mouse Auditory Cortex In Vivo Using an Implantable Solenoid System
Micromagnetic stimulation (µMS), using a submillimeter-sized coil to stimulate nerves, has the possibility to overcome the limitations of conventional methods characterized by their large device size and poor focality. However, little is known about µMS effects on brain activity. To validate µMS effectiveness, we developed an implantable µMS interface, evaluated its physical characteristics, and observed µMS-driven responses in mouse brain.
A Functional-genetic Scheme for Seizure Forecasting in Canine Epilepsy
Seizure prediction is currently a major concern in the epilepsy research community. In this work, we have proposed a new strategy to achieve accurate seizure forecasting by combining effective connectivity measures and artificial intelligence techniques. Results show performance improvement compared to previous studies, achieving average sensitivity of 84.82% and time in warning of 0.1.
In-Ear Audio Wearable: Measurement of Heart and Breathing Rates for Health and Safety Monitoring
Workers’ vital sign monitoring is a challenge in hazardous and noisy environnement. A promising solution is to integrate into the workers’ hearing protection devices (HPDs) by using a microphone positioned within the earcanal under the HPD. Digital signal processing algorithms can assess heart and breathing rates from an acoustical measurement in the presence of a high level of ambient noise.
A Brain–Computer Interface Based on Miniature-Event-Related Potentials Induced by Very Small Lateral Visual Stimuli
Traditional visual BCIs preferred large-size stimuli to elicit large-amplitude EEG features. But long-term exposure to the irritating stimuli could easily cause visual fatigue to users. We develop a method to recognize weakest ever BCI signals induced by very small visual stimuli, and implement a vision friendly and high-efficiency BCI speller.
Stimulation Efficiency With Decaying Exponential Waveforms in a Wirelessly Powered Switched-Capacitor Discharge Stimulation System
The wireless switched-capacitor discharge stimulation (SCDS) system is capable of both transferring input energy to decaying exponential stimuli and delivering them to the neural tissue in a manner that consumes less energy than a conventional stimulator. Both computational model simulations and in vivo experiments verified the feasibility of using an SCDS system to efficiently activate neural elements in the brain.
Ear-EEG-Based Objective Hearing Threshold Estimation Evaluated on Normal Hearing Subjects
Conventional EEG setups are impractical during daily life and incompatible with hearing aids. Ear-EEG, where the EEG electrodes are embedded in a hearing aid-like earpiece, potentially provides an unobtrusive way of measuring EEG suitable for use in everyday life. The objective of the current study was to evaluate the feasibility of ear-EEG in audiometric characterization of auditory sensitivity thresholds of normal hearing subjects.