Transcranial Stimulation Device Using EEG-Based Brain Injury Localization
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Solution Overview
Problem
Current assessment methods for traumatic brain injuries (TBIs) are inadequate, as they are either expensive or fail to accurately diagnose the root cause of dysfunction, leading to undiagnosed or misdiagnosed cases, and lack the necessary resolution and sensitivity to determine functional brain capacity.
Innovation Solution
A brain-computer interface system utilizing electroencephalography (EEG) and event-related potential (ERP) measures to localize brain injuries and dysfunctional regions, followed by low-intensity direct current stimulation to affected areas based on the EEG and ERP data, allowing for iterative neuromodulation and adjustment of stimulation parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current assessment methods (CT, MRI, rating scales) are used to diagnose TBI, then the diagnostic process is simple and accessible, but the measurement precision and ability to detect functional brain capacity is insufficient
Solution Approach 1:
The assessment system is segmented into multiple independent components: EEG sensors for electrical activity measurement, ERP stimuli for functional response elicitation, and separate analysis modules. This segmentation allows each component to be optimized for its specific function while maintaining overall system accessibility
Solution Approach 2:
The patent replaces traditional mechanical/imaging-based assessment methods (CT, MRI) with electrical field-based EEG measurement. This substitution enables detection of functional brain capacity through electrical signals rather than structural imaging, achieving higher diagnostic precision for functional impairments without requiring complex imaging equipment
2Measurement precision
If EEG and ERP measures are used to localize brain injuries, then the measurement precision and functional assessment capability is improved, but the device complexity and cost increase
Solution Approach 1:
The EEG system is designed to perform multiple functions: baseline electrical activity recording, ERP response measurement to various stimuli, and automated brain injury localization. This multi-functionality consolidates what would otherwise require separate assessment tools into a single integrated system, reducing overall complexity
Solution Approach 2:
The system incorporates automated algorithms that perform ERP analysis and brain injury localization without requiring manual interpretation by clinicians. The automated processing of EEG data and generation of diagnostic results reduces the need for specialized expertise and simplifies system operation
3Adaptability or versatility
If transcranial direct current stimulation is applied based on EEG/ERP data, then the treatment effectiveness and adaptability is improved, but the device complexity and treatment protocol complexity increase
Solution Approach 1:
The system uses EEG and ERP measurements as feedback to automatically adjust tDCS stimulation parameters. The baseline EEG data and ERP responses inform the selection of stimulation targets, intensity, and duration, creating a closed-loop system that adapts treatment to individual patient needs without requiring manual protocol design
Solution Approach 2:
The system performs preliminary EEG assessment and ERP measurement to identify brain regions requiring stimulation before applying tDCS. This preliminary characterization of brain function allows the stimulation protocol to be pre-configured based on objective measurements rather than trial-and-error adjustment, simplifying the treatment process
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
This approach enables accurate and rapid assessment of TBIs, providing targeted treatment interventions, tracking recovery progress, and improving brain function, thereby aiding in peak performance and return to daily activities or duty.
Implementation Method 1
non-invasive measurements of electrical currents produced by the brain of a person are made, including, in one embodiment, using low intensity electromagnetic stimulation
Implementation Method 2
non-invasive brain stimulation is delivered via the at least one anode electrode and the at least one cathode electrode to the brain of the person
Data Source
AI summary
The present method and system provides for the clinical application of neurostimulation and/or neuromodulation to a patient. The method and system includes receipt and acquisition of patient data, processing of that data relative to one or more known data sets, and determination of a good-fit trigger specific treatment protocol. The method and system provides for application of the protocol to the patient, including delivery of neuromodulation and biofeedback. Based thereon, the method and system re-iterates the goodness of fit determination for further treatment to the patient.