Brain-computer interfaces (BCI) are devices that enable individuals with motor disabilities such as paralysis to control prosthetic limbs, computer cursors, and other interfaces using only their minds. One of the biggest problems facing BCI used in a clinical setting is instability in the neural recordings themselves. Over time, the signals picked up by BCI can vary, and a result of this variation is that an individual can lose the ability to control their BCI.As a result, researchers ask the user to go through a recalibration session which requires them to stop what they're doing and reset the connection between their mental commands and the tasks being performed. Typically, another human technician has to be involved just to get the system back online.
Researchers from Carnegie Mellon University (CMU) and the University of Pittsburgh (Pitt) have published research that will drastically improve BCI and their ability to remain stabilized during use, greatly reducing or potentially eliminating the need to recalibrate these devices during or between experiments.
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