Summaries by Inventor Brunner, Peter

Method to Perform Spectral Biopsy of Electrophysiological Brain Function for use in Monitoring and Diagnosing Neurological Conditions
Brunner, Peter ; Leuthardt, Eric
T-019651

— Value Proposition: New process used to detect/measure the intrinsic neuronal brain activity to diagnose neurological and psychiatric diseases. Technology Description Researchers at Washington University in St. Louis have developed a method called Tau-Modulation to assess intrinsic neuronal activi…

Method To Remove Brain Stimulation Artifacts in Neural Signals
Brunner, Peter ; Leuthardt, Eric ; Willie, Jon ; Xie, Tao
T-020083

— 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…

Software used to Detect Neural Oscillations in the Time-Frequency Space
Brunner, Peter ; Cho, Hohyun
T-020025

— 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…

Optimizing Patient Treatment through Electrical Stimulation for Targeted Deep Brain Stimulation
Adamek, Markus ; Brunner, Peter ; Leuthardt, Eric ; Willie, Jon
T-020028

— 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,…

Trackable pedicle screws
Brunner, Peter ; Genin, Guy ; Hacker, Carl ; Leuthardt, Eric ; Lowe, Halle ; Molina, Camilo ; Moran, Daniel ; Repka, Alicia ; Sandler, Jacob
T-019941

— Technology Description Researchers at Washington University in St. Louis have developed a system that uses lenticular arrays to better track pedicle screw placement during spinal fusion surgery. By enabling an accurate assessment of the screws’ locations, this system allows for computer-auto…

 

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