Browse Technologies

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We all wish that we could know if we were going to later remember something, the moment that new information enters our brain. For example, if we could predict whether our children would later remember a vocabulary word, then we could have them spend more time on the words they will not remember. A group of neuroscientists at Vanderbilt University has developed a way of measuring and analyzing brain activity that achieves this goal of predicting later memory as we study and view new information. The procedure involves measuring brainwaves from just two electrodes on the head as people view pictures, words, or virtually any kind of information that a person hopes to remember later.

This technology expands the capabilities of continuum robots with a system and method that enables them to detect instances of contact and to estimate the position of the contact. This framework allows the motion of the robot to be constrained so as to ensure the robot doesn't damage itself, another robot arm, or surrounding environments. Applications for this technology include enhanced safe telemanipulation for multi-arm continuum robots in surgery, micro-assembly in confined spaces, and exploration in unknown environments.

Vanderbilt researchers have developed a system to automatically detect different clinical procedures in order to prevent information loss through patient transfers in emergency situations.

The Vanderbilt University Biomedical Modeling Laboratory, led by Dr. Michael Miga, has developed a method to overcome intra-operative brain shifts experienced during neurosurgery using computer modeling that augments standard image-guided surgery technology. Current standard of care methods of image-guided surgery have limitations on accuracy, which is overcome by this new method.