Brain Stimulation System with Diagnostic Feedback
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Solution Overview
Problem
Current brain stimulation technologies, such as deep brain stimulation (DBS) and transcranial magnetic stimulation, face challenges in enhancing safety and efficacy for treating neurological diseases like Alzheimer's and other cognitive disorders, with a need for more precise and adaptive methods to set stimulation parameters to prevent adverse events and improve treatment outcomes.
Innovation Solution
A system comprising a stimulator, controller, and diagnostic tool that delivers test and treatment stimulation energy to the brain based on measured patient parameters, allowing for the setting of optimal stimulation parameters to prevent adverse events and improve neurological disorder treatment, including the use of electrodes, light, sound, and agent delivery, with closed-loop feedback for adjusting parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If brain stimulation is delivered to treat neurological diseases, then treatment efficacy is improved, but adverse events may occur due to improper parameter setting
Solution Approach 1:
The system performs preliminary diagnostic testing and parameter optimization before initiating full treatment. The controller delivers test stimulations at various parameter levels and uses diagnostic tools to assess patient response, establishing a safe parameter range before treatment begins. This preliminary action prevents adverse events by identifying suitable parameters in advance.
Solution Approach 2:
The system incorporates continuous feedback mechanisms where diagnostic tools monitor patient response to stimulation in real-time. The controller adjusts stimulation parameters based on this feedback, creating a closed-loop system that adapts to individual patient needs. This feedback mechanism ensures treatment remains within safe parameters while maximizing efficacy.
2Manufacturing precision
If stimulation parameters are set based on standard protocols, then treatment can be delivered, but individual patient variability reduces treatment precision
Solution Approach 1:
The system tailors stimulation parameters to each patient's specific neurological condition, anatomy, and response characteristics. Rather than applying uniform parameters, the controller adjusts voltage, pulse width, and frequency based on individual diagnostic assessments. This local customization achieves precise parameter setting matched to each patient's unique needs.
Solution Approach 2:
The system employs dynamic parameter adjustment rather than static settings. The controller continuously monitors patient response and modifies stimulation parameters in real-time during treatment. This dynamic adaptation allows the system to respond to changing patient conditions and optimize efficacy while maintaining safety throughout the treatment session.
3Measurement precision
If multiple diagnostic measurements are performed to determine optimal parameters, then treatment precision is improved, but system complexity increases
Solution Approach 1:
The system integrates multiple diagnostic and stimulation functions within a single unified platform. The controller performs both diagnostic measurements and treatment delivery, while the diagnostic tool assesses multiple patient parameters simultaneously. This multi-functionality reduces overall system complexity by consolidating what would otherwise require separate devices into one integrated system.
Solution Approach 2:
The system combines diagnostic assessment and treatment parameter setting into a unified process. The diagnostic tool and controller work together to simultaneously evaluate patient response and determine optimal parameters, rather than requiring separate diagnostic and treatment phases. This merging of functions streamlines the overall system while maintaining measurement precision.
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 safety and efficacy of brain stimulation by allowing for personalized and adaptive parameter setting, reducing adverse events and improving treatment outcomes for neurological diseases such as Alzheimer's, by using diagnostic data to determine optimal stimulation parameters.
Implementation Method 1
a stimulator (100) for stimulating brain tissue... constructed and arranged to deliver test stimulation energy to the brain tissue based on the at least one test stimulation parameter and to deliver treatment stimulation energy to the brain tissue based on the at least one treatment stimulation parameter
Data Source
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AI summary
A system for treating a patient comprises a stimulator for stimulating brain tissue, a controller for setting stimulation parameters and a diagnostic tool for measuring patient parameters and producing diagnostic data. The stimulation parameters comprise test stimulation parameters and treatment stimulation parameters. The stimulator delivers test stimulation energy to the brain tissue based on at least one test stimulation parameter and delivers treatment stimulation energy to the brain tissue based on at least one treatment stimulation parameter. One or more treatment stimulator parameters are determined based on the diagnostic data produced by the diagnostic tool The system is constructed and arranged to treat a neurological disease or a neurological disorder. Methods of treating a neurological disease or neurological disorder are also provided.