Methods and systems for automatically identifying detection parameters for an implantable neurostimulator
Summary
This patent describes automated methods for identifying optimal seizure detection parameters in implantable neurostimulators. The system analyzes patient-specific electrographic patterns to configure detection algorithms, enabling personalized seizure detection without requiring extensive manual programming by clinicians.
Why it matters
Automated detection parameter identification addresses one of the key challenges in responsive neurostimulation - the need for individualized programming. This technology makes Neuropace's RNS System easier to implement in clinical practice by reducing the expertise and time required for initial device setup, supporting broader clinical adoption.
Want the full NeurotechMag Pro intelligence database?
Access 800+ papers, trials, patents, funding rounds and news items — updated daily.
Start free trial