Systems and methods for predicting and treating neurological condition relapses
AssigneeThe Board of Trustees of the Leland Stanford Junior University
InventorsNolan Williams, Keith Sudheimer
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AssigneeThe Board of Trustees of the Leland Stanford Junior University
InventorsNolan Williams, Keith Sudheimer
Estimating the term…
Systems and methods for predicting and treating relapses for neurological conditions in accordance with embodiments of the invention are illustrated. One embodiment includes a method for predicting and treating a clinical neurological condition relapse. The method includes steps for selecting a threshold heart rate variability value for a patient suffering from a clinical neurological condition, monitoring, using a cardiac monitor, the heart rate variability of the patient over time, providing an indicator that a relapse is imminent when the heart rate variability of the patient falls below the threshold heart rate variability value, and treating the patient using a transcranial magnetic stimulation device by applying an accelerated theta burst stimulation protocol where the transcranial magnetic stimulation target is the left prefrontal dorsolateral cortex.
A closed-loop neurostimulation system, comprising:
A method for closed-loop neurostimulation, comprising:
Dependencies are inferred from the claim text.