ECAP Feedback for Neuromodulation Parameter Tuning and Faster Pain Relief
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Solution Overview
Problem
Existing neuromodulation systems require time-consuming trial and error methods to determine optimal electrical parameters for pain relief, leading to delayed treatment.
Innovation Solution
A closed-loop feedback system that adjusts electrical parameters based on evoked compound action potentials (ECAPs) to optimize neuromodulation, using a control circuit to match recorded ECAPs with stored signals for precise stimulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If trial and error methods are used to determine optimal electrical parameters, then the system can achieve pain relief, but the treatment time is extended and efficiency is reduced
Solution Approach 1:
The system employs a closed-loop feedback mechanism where ECAP signals are recorded during stimulation, compared against stored target ECAP patterns, and used to automatically adjust stimulation parameters. This feedback loop replaces the traditional trial-and-error approach by continuously monitoring neural responses and optimizing parameters in real-time, thereby reducing treatment determination time while maintaining pain relief effectiveness.
Solution Approach 2:
The neuromodulation system performs self-optimization by automatically adjusting its own stimulation parameters based on recorded ECAP signals. The control circuitry autonomously compares ECAP patterns and modifies electrical parameters without requiring external manual intervention, enabling the system to determine optimal parameters independently and rapidly.
2Reliability
If multiple electrical parameters are manually adjusted to optimize stimulation, then therapeutic outcomes can be improved, but the complexity of operation increases
Solution Approach 1:
The system autonomously optimizes multiple electrical parameters including amplitude, pulse width, and frequency by automatically comparing ECAP signals against stored target patterns. The control circuitry independently adjusts these parameters without requiring manual intervention, thereby maintaining improved therapeutic outcomes while significantly reducing operational complexity.
Solution Approach 2:
The system systematically varies electrical stimulation parameters (amplitude, pulse width, frequency) based on ECAP signal characteristics. By automatically modifying these parameters in response to recorded neural responses, the system achieves optimized therapeutic outcomes without requiring complex manual parameter adjustment procedures.
3Productivity
If ECAP-based closed loop control is implemented to rapidly determine parameters, then treatment efficiency is improved, but the device complexity increases
Solution Approach 1:
The closed-loop control system records ECAP signals during stimulation and uses automated comparison against stored target patterns to rapidly determine optimal parameters. This feedback mechanism accelerates parameter determination significantly compared to manual methods, with the added complexity managed through integrated control circuitry that operates autonomously within the implantable device.
Solution Approach 2:
The system stores target ECAP patterns in memory and compares recorded ECAP signals against these stored references. By using copied reference patterns for comparison, the system enables rapid automated parameter determination through pattern recognition, achieving high productivity while managing device complexity through efficient signal processing.
Data Source
AI summary
This document discusses, among other things, systems and methods for providing pain relief to a patient. Recording circuitry may receive electrical signals corresponding to evoked compound action potentials in the patient that may be produced in response to external stimulation of a location where the patient is experiencing pain. The received electrical signals may be stored in a memory. Internal stimulation may then be applied to the patient and control circuitry may receive electrical signals corresponding to evoked compound action potentials in the patient that may be produced in response to the internal stimulation. The control circuitry may then adjust electrical parameters of the internal stimulation, such as to reduce a difference between the electrical signals corresponding to evoked compound action potentials produced in response to the internal stimulation and electrical signals corresponding to evoked compound action potentials produced in response to the external stimulation.