Parameterizing techniques for sub-perception and paresthesia therapy

By parameterizing closed-loop algorithms for sub-perception therapy using ECAP features and accelerometer data, the system addresses the challenges of managing chronic pain with neurostimulation devices, enabling remote and efficient therapy adjustments for improved patient outcomes.

WO2025080428A1 Publication Date: 2025-04-17BOSTON SCI NEUROMODULATION CORP
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Patent Information

Application Number
PCT/US2024/048629
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2023-10-09
Filing Date
2024-09-26
Publication Date
2025-04-17

AI Technical Summary

Technical Problem

Current chronic pain management systems face challenges in efficiently monitoring and triaging patients with neurostimulation devices, particularly in providing timely adjustments to therapy due to limitations in sensing nerve activity below perception thresholds and the need for frequent clinical visits.

Method used

The implementation of a system that parameterizes closed-loop algorithms for sub-perception therapy, utilizing a stimulation output circuit, sensing circuit, and stimulation control circuit to deliver neurostimulation, sense neural signals, and adjust stimulation parameters based on evoked compound action potential (ECAP) features and accelerometer data, enabling closed-loop control of sub-perception therapy.

Benefits of technology

This approach allows for remote monitoring and adjustment of neurostimulation therapy, improving patient management and reducing the need for frequent clinical visits, while ensuring consistent neural activation and effective pain management even below perception thresholds.

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Abstract

A system for closed-loop control of sub-perception spinal cord stimulation therapy is provided. The system includes an implantable pulse generator (IPG) with an evoked compound action potential (ECAP) recording module and accelerometer. A regression model maps accelerometer data to optimal stimulation parameters for consistent nerve activation. This enables closed-loop therapy in the sub-perception domain where ECAP features are not visually detectable. A clinician programmer applies the model and sub-perception dose to therapy programs deployed to the IPG. The model can be customized to each patient by collecting ECAP and accelerometer data. The mapping reconciles ECAP -based control between perception and sub-perception domains by supplementing unavailable ECAP data with accelerometer data. This improves stimulation therapies for patients receiving sub-perception and multi-sensor paresthesia treatments.
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