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Software that identifies sleep states from deep brain signals
A University of Colorado research team has developed software which can interpret brain patterns in order to determine whether the patient is awake or asleep that can be used with closed-loop DBS. The technology uses artificial neural networks to determine a patient’s sleep state. It was trained from PD patients with implanted DBS electrodes in...
Published: 11/30/2023   |   Inventor(s): Joel Zylberberg, Elijah Christensen, Aviva Abosch, John Thompson
Disease Areas Neurology
Category(s): Software
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