by | Jun 17, 2025 | Brunner, Peter, Demarest, Phillip, Leuthardt, Eric, Willie, Jon, Xie, Tao
— Published Date: 6/18/2025
Value Proposition: Software tool that uses a novel denoising method to remove electrical stimulation artifacts from electrophysiology data while preserving physiological signals.
Technology Description
Researchers at Washington University in St. Louis have developed …
by | Oct 22, 2024 | Brunner, Peter, Leuthardt, Eric, Willie, Jon, Xie, Tao
— Value proposition: Method and system for removing multiple types of brain stimulation artifacts in neural signals to improve neurological diagnoses and therapies.
Technology Description
Researchers at Washington University in St. Louis have developed a method to remove brain stimulation artifact…
by | Jun 18, 2024 | Brunner, Peter, Cho, Hohyun
— Technology Description
Researchers at Washington University in St. Louis have developed a software method that demonstrates high precision and specificity in detecting neural oscillations in time and frequency domains. Current methods to look at identifying peaks over 1/f noise within the power s…
by | Jun 12, 2024 | Adamek, Markus, Brunner, Peter, Leuthardt, Eric, Willie, Jon
— Technology Description
Researchers at Washington University in St. Louis have developed a deep brain stimulation approach that can identify optimal stimulation parameters intraoperatively, which significantly reduces the amount of time spent on adapting stimulation parameters, thus reducing costs,…
by | May 10, 2024 | May, Adam
— Technology Description
Researchers at Washington University in St. Louis have developed a new method for automatically differentiating accelerated heart rhythms caused by wide complex tachycardia (WCTs) into fast, or irregularly fast heart rhythms caused by ventricular tachycardia (VT) and suprave…