Methods and systems for automatically identifying detection parameters for an implantable medical device

Inventors

Sun, Felice • Esteller, Rosana • Lee, Adam

Assignees

Neuropace Inc

Abstract

An initial set of parameters for operating one or more detection tools is automatically derived and subsequently adjusted so that each detection tool is more or less sensitive to signal characteristics in a region of interest. Detection tool(s) may be applied to physiological signals sensed from a patient (such as EEG signals) and may be configured to run in an implanted medical device that is programmable with the parameters to look for rhythmic activity, spiking, and power changes in the sensed signals, etc. A detection tool may be selected and parameter values derived in a logical sequence and/or in pairs based on a graphical representation of an activity type which may be selected by a user, for example, by clicking and dragging on the graphic via a GUI. Displayed simulations allow a user to assess what will be detected with a derived parameter set and then to adjust the sensitivity of the set or start over as desired.

Core Innovation

The invention provides a method and a system for deriving a detection tool that detects an event in electrographic signals. The detection tool is implemented in an implantable medical device implanted in a patient. A region of interest in an electrographic signal sensed by the implantable medical device is processed to determine a candidate parameter set that configures a candidate detection tool to detect the event.

The candidate detection tool is configured based on the candidate parameter set and applied to a plurality of available electrographic signals to determine an event detection rate. In particular, the plurality of available electrographic signals are signals of other patients with one or more demographics in common with the patient. The event detection rate is compared to a criterion corresponding to a desired detection rate, and the candidate detection tool is implemented in the implantable medical device when the criterion is satisfied.

The invention further includes characterizing the region of interest by analyzing the region of interest to determine, from among a plurality of different activity types, a determined activity type for characterizing the region of interest. Based on the determined activity type, the candidate detection tool is automatically selected from among a plurality of different types of detection tools. The disclosed activity types include rhythmic activity, spiking activity, and a change in power of an electrographic signal relative to a predetermined norm.

Claims Coverage

The independent claims cover an end-to-end derivation workflow for an event detection tool in an implantable medical device, including parameter-set derivation, detector configuration, evaluation using an event detection rate, and implementation when a desired-detection criterion is met. Across the independent claims, the inventive features include automatic activity-type characterization and automatic selection among different types of detection tools.

The independent claims collectively define deriving and implementing an event detection tool in an implantable medical device by deriving a candidate parameter set from a processed region of interest, configuring a candidate detection tool, applying it to available electrographic signals to determine an event detection rate, comparing the rate to a desired-detection criterion, and implementing the candidate tool when satisfied. At least one set of independent claims further requires characterizing the region of interest by determining an activity type and automatically selecting the candidate detection tool type based on that activity type.

Stated Advantages

Documented Applications