EMG-Guided Electrode Placement for Spinal Cord Stimulation
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Solution Overview
Problem
Current methods for spinal cord stimulation electrode placement rely on qualitative patient feedback and fluoroscopy, leading to sub-optimal positioning and potential complications due to a lack of accurate information regarding electrode location relative to neural tissue.
Innovation Solution
A system utilizing electromyography (EMG) data to provide real-time, quantitative feedback for precise electrode placement, incorporating a computing device with sensors to analyze electrical activity and generate visual representations for optimal positioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fluoroscopy and qualitative patient feedback are used for electrode placement, then the placement process is simple and quick, but the placement accuracy and reliability are insufficient
Solution Approach 1:
The patent implements real-time feedback mechanisms during electrode placement by monitoring electrical signals from the spinal cord and displaying visual indicators (such as color-coded feedback) to guide practitioners in adjusting electrode positions. This closed-loop feedback system enables continuous optimization of placement accuracy without requiring complex pre-planning or post-placement adjustments.
Solution Approach 2:
The patent replaces traditional mechanical fluoroscopy-based positioning methods with an electrical signal-based system. Instead of relying on visual imaging and subjective patient feedback, the system uses objective electrical signal measurements from the spinal cord to determine optimal electrode positions, thereby improving precision while maintaining operational simplicity.
2Loss of information
If subjective patient feedback is used during trial periods, then the assessment process is simple, but the information accuracy for optimal placement is insufficient
Solution Approach 1:
The patent introduces an intermediary objective measurement system that translates complex electrical signals from the spinal cord into simplified visual feedback for practitioners. This intermediary layer converts raw electrical data into actionable placement guidance, preserving information accuracy while maintaining placement efficiency by eliminating the need for practitioners to directly interpret complex physiological data.
3Reliability
If electrodes are placed based on vertebral midline alignment, then the placement procedure is straightforward, but the functional effectiveness is reduced
Solution Approach 1:
The patent changes the reference parameter for electrode placement from anatomical vertebral midline alignment to functional electrical signal-based positioning. By using electrical signal characteristics (such as signal amplitude, frequency, or pattern) as the positioning parameter instead of anatomical landmarks, the system achieves both improved therapeutic effectiveness and maintained procedural simplicity through automated guidance.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances electrode placement accuracy, reduces errors, and enables effective neurostimulation therapy by aligning electrodes with functional midline rather than vertebral midline, potentially reducing complications and improving therapeutic outcomes.
Implementation Method 1
A system utilizing electromyography (EMG) data to provide real-time, quantitative feedback for precise electrode placement
Data Source
AI summary
Systems, apparatuses, and methods described herein facilitate the placement of spinal cord stimulator (SCS) electrode in relationship to neural tissue of the spinal cord based on electromyography (EMG) data. The systems, apparatuses, and methods are designed to assist physicians and surgeons target specific neurophysiological locations through stimulation and subsequent visualization of EMG activity in response to stimulation to more precisely identify the location of the SCS electrodes that will maximize the intended therapeutics effects of SCS.