NeuroPace. has filed a patent for a method to automatically derive and adjust parameters for detection tools in implantable medical devices. The method involves processing electrographic signals, configuring detection tools, and comparing event detection rates to desired criteria before implementation. GlobalData’s report on NeuroPace gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on NeuroPace, Electrical stimulation wearables was a key innovation area identified from patents. NeuroPace's grant share as of January 2024 was 80%. Grant share is based on the ratio of number of grants to total number of patents.
Automatically deriving and adjusting parameters for detection tools in medical devices
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A patent application (Publication Number: US20240032870A1) describes a method and system for deriving a detection tool that can detect specific events in electrographic signals. The method involves processing a region of interest in the signal to determine a candidate parameter set for configuring the detection tool, applying the tool to multiple signals to determine its detection rate, comparing this rate to a desired criterion, and implementing the tool in an implantable medical device if the criterion is met. The system includes a memory and processor to perform these functions, with the processor analyzing different activity types in the signal to automatically select the appropriate detection tool from various types available.
The method and system outlined in the patent application offer a sophisticated approach to detecting events in electrographic signals within implantable medical devices. By analyzing the signals and adjusting parameters based on detection rates, the system can optimize the detection tool for accurate and efficient event detection. The ability to process real-time signals from patients or stored data allows for a comprehensive evaluation of the detection tool's performance. Additionally, the system's capability to adjust parameters and repeat the process ensures continuous improvement in event detection accuracy. Overall, this innovation presents a valuable tool for enhancing the functionality of implantable medical devices in monitoring and detecting specific events in electrographic signals, such as seizure onsets, with potential applications in improving patient care and treatment outcomes.
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