Axonics. has filed a patent for a neurostimulation system that estimates battery capacity in an implantable device over time. The system includes an external device communicating with the device, determining capacity using energy consumption data and battery voltage. This innovation aims to enhance the efficiency of neurostimulation devices. GlobalData’s report on Axonics 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 Axonics, Neuromodulation implants was a key innovation area identified from patents. Axonics's grant share as of January 2024 was 55%. Grant share is based on the ratio of number of grants to total number of patents.
Battery capacity estimation system for implantable neurostimulation devices
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A neurostimulation system described in a filed patent (Publication Number: US20240009469A1) includes an implantable pulse generator (IPG) with a battery and an external device for communication. The system operates in different phases, with the external device receiving battery information and estimating capacity based on energy consumption data and battery voltage. During the initial phase, the estimate is based on prior battery capacity and energy consumption data, while in the latter phase, it relies on battery voltage. An intermediate phase considers both energy consumption data and voltage for capacity estimation.
The system also includes provisions for different subphases based on battery capacity thresholds and voltage levels. The external device is equipped with a graphical user interface for programming and monitoring the IPG, with the processor determining battery capacity estimates during various phases of use. The method outlined in the patent involves establishing communication with the IPG, receiving battery information, and determining capacity estimates based on energy consumption data and battery voltage. The latter phase marks the final stage of use, with an intermediate phase considering both energy consumption data and voltage for capacity estimation. The system's design and methodology aim to optimize battery usage and enhance the efficiency of neurostimulation systems for improved patient outcomes.
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