EEG-Based Hormone Level Prediction via Frequency Band Ratios
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Solution Overview
Problem
Current methods for measuring hormone levels from blood, saliva, or urine samples are delayed, prone to errors, and require invasive procedures, limiting their use in real-time diagnosis and research.
Innovation Solution
A non-invasive method using EEG data analysis to predict hormone levels by calculating a ratio from specific frequency bands, such as delta, theta, alpha, and SMR, which correlates with hormone levels, allowing for instant and repeated measurements without biosample extraction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If blood, saliva, or urine samples are used to measure hormone levels, then measurement accuracy is improved, but time delay and operational complexity increase
Solution Approach 1:
The patent replaces the mechanical/biological system of collecting and analyzing physical biosamples (blood, saliva, urine) with an electrical/neurophysiological system using EEG measurements. The EEG-based method measures brain wave activity that correlates with hormone levels, eliminating the need for physical sample collection, transportation, and laboratory processing, thereby providing rapid results without the time delays inherent in traditional biosample methods
Solution Approach 2:
The patent introduces EEG brain wave activity as an intermediary measure that correlates with hormone levels. Instead of directly measuring hormones through invasive biosample extraction, the system uses EEG signals (particularly delta and beta frequency bands) as a proxy indicator that can be measured instantly and non-invasively, serving as a mediator between the subject's physiological state and the measurement process
2Measurement precision
If blood, saliva, or urine samples are used to measure hormone levels, then measurement accuracy is improved, but device complexity and operational difficulty increase
Solution Approach 1:
The patent replaces the complex mechanical and procedural system of biosample collection (requiring trained personnel, sterile techniques, proper storage, and transportation) with a simplified electrical measurement system using EEG electrodes. This substitution dramatically reduces operational complexity and makes the measurement process accessible to non-specialists while maintaining measurement capability
Solution Approach 2:
The patent creates a functional copy of hormone level information through EEG measurements. Instead of directly analyzing the hormone-containing biosamples, the system captures brain wave patterns that reflect the subject's hormonal state, providing a surrogate measurement that is easier to obtain and process while still conveying the essential physiological information
3Measurement precision
If biosamples are collected and transported to the lab, then hormone level measurement is achieved, but costs and time consumption increase
Solution Approach 1:
The patent replaces the entire biosample logistics chain (collection, packaging, transportation, laboratory processing) with a direct EEG measurement system. This substitution eliminates the need for sample transportation and laboratory infrastructure, allowing measurements to be performed at the point of care and dramatically improving measurement efficiency and productivity
Solution Approach 2:
The EEG-based measurement system enables the subject's own brain wave activity to provide the measurement data without requiring external laboratory services. The system is self-contained and can be operated independently, eliminating dependence on external laboratories and sample transportation services, thereby improving productivity and reducing costs
Data Source
AI summary
A method of predicting substance levels from EEG data is disclosed. The method includes analyzing EEG data to obtain the average power for each of a plurality of predetermined frequency bands and calculating a value from the average powers derived for each frequency band, said value being calculated by combining the average powers for each frequency band by dividing and/or multiplying according to a predetermined order. The method further includes obtaining an estimate of the hormone level from the equation Y=bX+C, where Y is the substance level to be predicted, X is the value and b and C are constants, wherein the substance is selected from hormones, neuro transmitters and bio markers.