EEG Resonance Stimulation for Individual Cognitive Frequency
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Solution Overview
Problem
Existing brain wave stimulation methods ambiguously identify full frequency bands, leading to errors in individual unique frequency identification, which undermines personalized cognitive function enhancement.
Innovation Solution
A device and method that measures individual cognitive frequency by analyzing EEG power spectra during specific cognitive tasks, generating and resonating with transcranial current, magnetic, or ultrasound stimulation to enhance cognitive function based on unique frequency resonance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If full frequency band stimulation is used, then brain wave stimulation can be applied, but individual unique frequency identification becomes ambiguous
Solution Approach 1:
The patent segments the general frequency band stimulation approach into individual-specific frequency identification. By dividing the population-based frequency bands (theta 4-8Hz, alpha 8-13Hz, beta 13-30Hz) into personalized frequencies through EEG measurement and spectral analysis, the system applies segmentation to transition from group-level to individual-level precision in cognitive function enhancement.
Solution Approach 2:
The patent implements local quality by shifting from uniform frequency band stimulation to localized individual frequency targeting. Each subject receives stimulation tailored to their specific dominant frequency in relevant frequency bands, making the stimulation quality locally optimized for each individual's cognitive characteristics rather than applying a one-size-fits-all approach.
2Ease of operation
If averaging frequency band method is used, then stimulation can be simplified, but individual unique frequency is undermined
Solution Approach 1:
The patent introduces feedback by measuring each subject's EEG signals and using spectral analysis to determine their individual dominant frequencies. This feedback loop replaces the simplified averaging method with a data-driven approach that continuously adapts stimulation parameters based on individual neural responses, thereby improving reliability while maintaining operational feasibility through automated analysis.
Solution Approach 2:
The system enables self-service by allowing each subject's brain to naturally express its characteristic frequencies through EEG measurement during cognitive tasks. The individual unique frequency emerges self-organically from the subject's own neural activity patterns, eliminating the need for external imposition of standardized frequency bands and thereby enhancing both reliability and personalization.
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 provides precise and reliable non-invasive brain stimulation, enhancing cognitive functions such as learning and memory capacity by resonating with individual unique frequencies, improving accuracy and reliability over existing methods.
Implementation Method 1
generating the measured frequency using a transcranial current stimulator and bringing it into resonance with brain waves
Implementation Method 2
Electroencephalogram (EEG) refers to electrical activity generated in brain of animals including human
Implementation Method 3
generates individual unique frequency and brings it into resonance with brain waves
Data Source
AI summary
Provided is a method for enhancing cognitive function based on individual cognitive frequency resonance that intentionally and selectively enhances a specific cognitive function by resonating with brain waves through brain stimulation using an electric current of the same frequency or waveform as individual cognitive frequency generated during a cognitive task, and the method includes executing, by a subject, a cognitive task.