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Fully Closed Loop Test Environment for Adaptive Implantable Neural Stimulators Using Computational Models.

Scott Stanslaski¹, Hafsa Farooqi², David Escobar Sanabria²

¹Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455; Neuromodulation Department, Medtronic PLC, Minneapolis, MN 55432.

Journal of Medical Devices

|June 1, 2022

Summary

This summary is machine-generated.

A new hardware-in-the-loop testing framework uses computational models to validate adaptive deep brain stimulation (DBS) devices. This method ensures the safety and effectiveness of advanced neuromodulation systems before clinical use.

Keywords:

computational models neural sensing neural stimulation

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Area of Science:

Neuroscience
Biomedical Engineering
Medical Devices

Background:

Implantable brain stimulation devices are advancing, increasing the complexity of adaptive neuromodulation therapy.
Validating these sophisticated systems is challenging due to patient interactions and environmental noise/artifacts.

Purpose of the Study:

To present a novel hardware-in-the-loop (HIL) testing framework for adaptive deep brain stimulation (DBS) devices.
To validate the operational correctness and robustness of adaptive DBS systems before animal or human trials.

Main Methods:

Employed real-time computational models of pathological neural dynamics (epilepsy, Parkinson's disease).
Utilized a saline tank setup with electrode arrays connected to an adaptive neuromodulation system.
Integrated a data acquisition system to simulate neural responses and feedback stimulation effects.

Main Results:

Successfully tested adaptive DBS algorithms for seizure and beta band power suppression in an implantable system (Medtronic Summit RC+S).
Demonstrated the framework's ability to test systems against environmental noise and stimulation-induced artifacts.

Conclusions:

The proposed HIL framework provides a systematic method for testing adaptive DBS systems.
This approach enhances the reliability and safety of neuromodulation devices for neurological disorders.