Neurostimulation Stimulus Mapping for Nerve Activity Control
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Solution Overview
Problem
Current electronic systems for neurostimulation lack the ability to effectively map and adjust neuromodulating stimuli to specific areas of the body, leading to inefficiencies in treating nerve-related sensations and conditions.
Innovation Solution
A system that includes a processor and memory to generate a stimulus map by mapping stimulus parameters to responses, allowing for the precise application of neuromodulating stimuli using devices like spinal cord stimulation devices, and adjusting parameters based on target areas and perceived sensations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If neuromodulating stimuli are applied without precise mapping, then the treatment process is simple, but the precision and effectiveness of treating specific nerve areas is poor
Solution Approach 1:
The system divides the body into discrete stimulus areas corresponding to specific nerve pathways, allowing targeted mapping and stimulation of individual regions rather than treating the entire body uniformly. This segmentation enables precise localization of nerve activity alteration to specific therapeutic areas.
Solution Approach 2:
The system performs preliminary mapping of stimulus parameters to predicted sensations before actual treatment. By pre-establishing the relationship between stimulus parameters and expected neural responses, the system enables precise targeting without requiring complex real-time adjustment during treatment delivery.
2Adaptability or versatility
If stimulus parameters are not mapped to specific responses, then the system is easier to operate, but the ability to adjust treatment to target areas is reduced
Solution Approach 1:
The system incorporates feedback mechanisms where patient responses to stimuli are recorded and used to refine the mapping between stimulus parameters and actual sensations. This feedback loop enables the system to adapt to individual patient variations while maintaining ease of use through automated parameter adjustment based on observed responses.
Solution Approach 2:
The system establishes comprehensive mappings between multiple stimulus parameters (amplitude, frequency, pulse width) and their corresponding neural responses. By pre-defining these parameter relationships, the system can automatically adjust treatment parameters to target specific areas without requiring manual intervention, thus maintaining ease of operation while enhancing adaptability.
3Reliability
If comprehensive stimulus parameter mapping is implemented, then the effectiveness of neurostimulation treatment is improved, but the complexity of parameter selection and mapping increases
Solution Approach 1:
The system creates a universal mapping framework that can be applied across different stimulus types and body regions using a consistent methodology. By developing a general-purpose mapping approach rather than separate specialized systems for each application, the system achieves high reliability across diverse treatments while managing complexity through standardized procedures.
Solution Approach 2:
The system uses computational models and simulated mappings to predict stimulus responses before actual treatment delivery. By creating virtual copies of the mapping relationships through algorithms and data structures, the system can handle complex parameter relationships systematically, improving treatment effectiveness while organizing complexity into manageable computational frameworks.
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
Enables precise control over nerve activity, allowing for the accurate mapping and alteration of sensations, improving the therapeutic application of neurostimulation by enhancing the precision and effectiveness of treatments.
Implementation Method 1
application of a first neuromodulating stimulus to the entity based on the first stimulus parameter... mapping the first stimulus parameter to a response from the entity to application of the first neuromodulating stimulus
Data Source
AI summary
Techniques regarding neuromodulation are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can include a mapping component that can generate a stimulus map by mapping a stimulus parameter to a response from an entity to application of a neuromodulating stimulus, with the first neuromodulating stimulus being applied to the entity based on the first stimulus parameter, to therapeutically cause or prevent a sensation.