Personalized Brain State Guidance via EEG Depth Scores

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Solution Overview

Problem

Current meditation practices lack personalized approaches, as they do not account for individual neuropsychological profiles and brain states, leading to inefficiencies in achieving desired brain activity changes.

Innovation Solution

A system and method that utilize EEG data to recommend personalized meditation protocols by calculating depth scores for different meditation techniques, allowing users to receive tailored recommendations and guidance for improving their brain state.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a one-size-fits-all meditation approach is used, then the system is simple and easy to implement, but it does not accommodate individual cognitive demands and neuropsychological profiles, reducing effectiveness

Engineering Contradiction:

Improvepersonalization to individual neuropsychological profilesVSAvoidsystem complexity for calculating depth scores and providing recommendations

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system performs preliminary actions by collecting and analyzing brainwave data during meditation sessions before providing personalized recommendations. The depth score calculations are performed in advance based on the collected neural data, allowing the system to recommend optimal meditation protocols without requiring complex real-time processing during actual meditation practice.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms by continuously monitoring brainwave activity and calculating depth scores that reflect individual performance. This feedback loop enables the system to adapt recommendations based on measured neural responses, transforming the static one-size-fits-all approach into a dynamic personalized system that responds to individual cognitive demands.

Inventive Principle:

Principle #23Feedback

2Measurement precision

If multiple meditation protocols are evaluated with depth scores, then personalized recommendations improve effectiveness, but the calculation and analysis process becomes more complex

Engineering Contradiction:

Improveprecision in measuring brain state performanceVSAvoidcomplexity of calculating multiple depth scores

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments the complex task of evaluating meditation effectiveness by breaking it down into multiple depth score calculations, each corresponding to a specific meditation protocol. This segmentation allows the system to measure performance against different protocols independently, then compare results to determine the optimal recommendation, making the overall complex process more manageable and systematic.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system employs parameter changes by varying the depth score calculations across different meditation protocols. Each protocol evaluation uses specific parameters tailored to that protocol's characteristics, allowing precise measurement of brain state performance for each protocol type while maintaining a unified framework for comparison and recommendation.

Inventive Principle:

Principle #35Parameter changes

3Loss of information

If brainwave data collection and analysis are performed, then accurate personalized feedback is provided, but the time and resources required increase

Engineering Contradiction:

Improveinformation loss about individual brain statesVSAvoidtime for data collection and protocol recommendation

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The system performs preliminary data collection and analysis during routine meditation sessions, building a database of individual brainwave patterns and responses over time. This preliminary action accumulates the necessary information without requiring intensive processing during each session, reducing the time burden while maintaining accurate personalized feedback capabilities.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system enables self-service by automatically collecting, analyzing, and processing brainwave data without requiring external intervention. The automated depth score calculations and protocol recommendations reduce the need for manual analysis, minimizing both time and resource requirements while preserving comprehensive information about individual brain states.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS20250000407A1Personalized brain state guidance system and method

Publication Date: 2025.01.02 MCDONOUGH MARK

AI summary

Methods and systems for intelligent, personalized guidance and recommendations for achieving a desired brain state, such as during meditation. In one embodiment, brainwave activity for an individual can be used to predict which protocol has the greatest likelihood of serving as the most effective practice for that user. In another example, personalized brain state feedback can be generated and presented to the user that isolates different features or metrics and describes the user's performance with respect to each component. In another embodiment, users can review their brain activity scores and opt to create new protocols that target a smaller subset of the technique in order to tailor the development of their practice journey to their desired brain states.