Spinal Cord Stimulation Efficacy Assessment via Physiological Classification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for assessing the efficacy of spinal cord stimulation (SCS) for chronic pain are subjective and unreliable, leading to variable results and potential misclassification of treatment effectiveness.
Innovation Solution
A device and method that utilize a classification algorithm to objectively assess SCS efficacy by comparing measurements of physiological parameters before and after treatment, using a system that includes a processor to analyze data from sensors monitoring physiological signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If subjective patient assessment is used to determine SCS efficacy, then the assessment method is simple and easy to implement, but the reliability and accuracy of the efficacy determination is poor
Solution Approach 1:
The patent replaces the subjective mechanical/psychological assessment system with an objective physiological measurement system. Instead of relying on patient self-reporting, the system uses sensors to detect and measure physiological parameters (such as muscle activity, skin conductance, or other bodily responses) that objectively indicate pain relief efficacy, thereby substituting human judgment with instrument-based measurement.
Solution Approach 2:
The patent introduces physiological parameters as an intermediary between the SCS treatment and the efficacy assessment. Rather than directly asking patients to report pain levels, the system measures intermediate physiological responses that correlate with pain relief, using these parameters as mediators to infer treatment effectiveness more reliably.
2Measurement precision
If multiple physiological parameters are measured and analyzed using classification algorithms, then the accuracy and objectivity of SCS efficacy assessment is improved, but the device complexity and data processing requirements increase
Solution Approach 1:
The patent segments the complex assessment task into distinct components: individual physiological parameter measurement, parameter preprocessing, classification algorithm processing, and final efficacy determination. By dividing the system into modular segments, each handling a specific function, the overall complexity is managed more effectively while maintaining high measurement precision.
Solution Approach 2:
The system employs classification algorithms that automatically process the measured physiological parameters and generate efficacy assessments without requiring manual intervention. The algorithm self-services the complex data analysis task, taking raw physiological data and autonomously producing interpreted results, thereby reducing the need for complex manual assessment procedures.
Data Source
AI summary
Device and method for determining an efficacy of chronic pain treatment including providing a first set of at least one stimulus to a subject, obtaining first measurements of at least two physiological parameters in response to the first set of at least one stimulus, providing chronic pain treatment to the subject, providing a second set of at least one stimulus to the subject, obtaining second measurements of the at least two physiological parameters in response to the second set of at least one stimulus; and determining an efficacy of the chronic pain treatment by applying a classification algorithm on the first and second measurements of the at least two physiological parameters.