Automated Spinal Cord Stimulation Programmer with Patient Feedback
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Solution Overview
Problem
The manual programming of spinal cord stimulation systems with increased numbers of electrodes becomes excessively time-consuming due to the exponential increase in electrode and parameter combinations, making it inefficient for healthcare professionals to establish optimal therapeutic programs.
Innovation Solution
A programmer system that includes a clinician programmer, patient-feedback device, and implantable pulse generator, allowing for automated programming and patient feedback to efficiently identify optimal electrode combinations and stimulation parameters for pain relief, reducing the time required for programming and improving treatment efficacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual programming is used with increased number of electrodes, then electrode coverage and treatment options are improved, but programming time and complexity increase exponentially
Solution Approach 1:
The system implements automated feedback mechanisms where the programmer receives real-time feedback from the patient about stimulation comfort and efficacy. This feedback loop allows the system to automatically adjust and identify optimal electrode combinations without requiring manual trial-and-error by the clinician, thus resolving the contradiction between comprehensive electrode coverage and programming time.
Solution Approach 2:
The automated programming system performs self-service by automatically selecting electrode combinations and adjusting stimulation parameters based on programmed algorithms and patient feedback. This eliminates the need for manual programming of each electrode individually, allowing the system to handle increased electrode counts without proportionally increasing programming time.
2Adaptability or versatility
If manual programming is used with increased number of electrodes, then treatment customization is improved, but ease of operation deteriorates
Solution Approach 1:
The system replaces the manual mechanical process of programming each electrode individually with an automated computational system. The programmer uses algorithms and patient feedback to automatically determine optimal electrode combinations, substituting manual operation with automated intelligence while preserving treatment customization capabilities.
Solution Approach 2:
The automated programming system acts as an intermediary between the clinician's treatment goals and the complex electrode configuration. It translates high-level treatment objectives into specific electrode combinations and parameters, shielding the operator from the complexity of manual electrode-by-electrode programming while maintaining customization.
3Productivity
If automated programming is implemented, then programming time is reduced, but device complexity increases
Solution Approach 1:
The automated programmer incorporates feedback mechanisms that receive real-time data from the patient about stimulation comfort and effectiveness. This feedback drives the automated selection process, allowing the system to efficiently identify optimal configurations without requiring overly complex pre-programmed algorithms, thus balancing productivity gains with manageable device complexity.
Solution Approach 2:
The programmer performs self-service through automated algorithms that independently evaluate electrode combinations and adjust parameters based on patient feedback. This self-service capability reduces programming time while containing complexity within the automated system rather than requiring complex manual procedures.
Data Source
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AI summary
A stimulation system, such as a spinal cord stimulation (SCS) system, for storing position information of an implanted medical lead implanted in a patient. A communication unit is configured to receive, from a first programmer, position data that indicates an actual position of the implanted medical lead with respect to a spinal column of the patient and an anatomically correct image of the spinal column. The communication unit is further configured to forward the position data, and to transmit both to a second programmer. The second programmer is then able to display a representation of the implanted medical lead on the anatomically correct image in an anatomically correct location and in an actual orientation based on the position data.