Spinal Cord Stimulator Electrode Positioning via EMG Feedback
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Solution Overview
Problem
Current spinal cord stimulation electrode placement techniques are inefficient and prone to errors, leading to a 29% failure rate, particularly due to inadequate pain relief and the complexity of accurately positioning electrodes relative to the spinal cord, which is exacerbated by the use of fluoroscopy and manual functional mapping.
Innovation Solution
An electrode positioning system that includes a pulse generator, recording electrodes, and a base unit with a processor to analyze electrophysiologic signals, determine the optimal placement of spinal cord stimulator electrodes relative to the spinal cord, and adjust stimulation parameters in real-time, using methods like electrical stimulation cycles and lateralization to ensure accurate positioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fluoroscopy and manual functional mapping are used for electrode placement, then anatomical landmarks can be identified, but the procedure becomes time-consuming, expensive, and prone to positioning errors
Solution Approach 1:
The patent replaces manual functional mapping and fluoroscopy-based mechanical positioning with an automated system that uses electrical stimulation and computer processing to determine electrode placement. The system applies electrical stimuli through the electrode and automatically processes the resulting muscle responses to calculate optimal positioning, eliminating the need for time-consuming manual procedures while maintaining or improving placement accuracy.
Solution Approach 2:
The system performs self-positioning by using the patient's own muscle responses to electrical stimulation as feedback. The computer automatically processes these responses and determines the correct electrode placement without requiring external manual mapping or imaging guidance, making the system self-sufficient and reducing procedural time.
2Reliability
If fluoroscopy and manual mapping techniques are employed, then electrode placement can be visualized, but the complexity of the procedure increases and failure rate remains high at 29%
Solution Approach 1:
The system incorporates real-time feedback by applying electrical stimulation through the electrode and measuring the resulting muscle responses. The computer processes these responses to determine whether the electrode is correctly positioned, providing immediate feedback that guides placement adjustments. This automated feedback loop increases reliability by objectively verifying placement accuracy rather than relying on manual assessment.
Solution Approach 2:
The patent replaces complex manual mapping procedures and fluoroscopy equipment with a simplified automated system that uses electrical stimulation and computer processing. This substitution reduces procedural complexity while improving reliability by using objective physiological responses rather than subjective manual assessment.
3Measurement precision
If automated electrical stimulation and signal analysis are used, then electrode placement accuracy improves, but the system complexity increases
Solution Approach 1:
The system achieves multi-functionality by combining electrical stimulation delivery, signal acquisition, computer processing, and placement determination into a single integrated system. The same hardware and software platform performs multiple functions that would otherwise require separate devices, reducing overall system complexity while maintaining high measurement precision.
Solution Approach 2:
The system uses the patient's own physiological responses as the measurement signal, eliminating the need for external imaging equipment or separate mapping devices. The electrical stimulation and signal analysis are performed by the same system that will ultimately control the electrode, creating a self-sufficient platform that improves precision without proportionally increasing complexity.
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
The system enhances the accuracy and efficiency of spinal cord electrode placement, reducing the risk of errors and improving pain management by providing real-time feedback and automated adjustment of stimulation parameters, thereby optimizing the therapeutic effect of spinal cord stimulation therapy.
Implementation Method 1
a pulse generator configured to generate electrical pulse currents based on a parameter; a Spinal Cord Stimulator (SCS) electrode configured to apply the generated electrical pulse currents
Implementation Method 2
a recording electrode configured to measure electrophysiologic signals triggered by application of the generated electrical pulse currents
Data Source
AI summary
A Spinal Cord Stimulator (SCS) electrode placement system that includes a stimulator, at least one amplifier, a processing unit, the processing unit programmable with software. The automated system aids surgeons in placing SCS electrodes by determining neurophysiologic position. It does this by adjusting parameters and stimulating the muscles of a patient from the SCS electrode to capturing electrophysiologic signal such as Electromyography (EMG) data from different muscles. This data is then collected at various positions on the SCS electrode and then aggregated to display the location of the SCS electrode. The data is then visually outputted to the surgeon to help make a lateralization decision. All aspects of the system can be manually adjusted by the surgeon.