Randomized RF Frequency Blood Pressure Monitoring
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Solution Overview
Problem
Existing systems for monitoring blood pressure using radio frequency signals face inaccuracies due to the regular transmission of RF signals not allowing analytes related to blood pressure enough time to return to their original state, resulting in distorted reflected signals.
Innovation Solution
A health monitoring system and method that uses a randomized frequency transmission approach, allowing more relaxation time for polar molecules to return to their original state by transmitting RF signals at varying frequencies, and generating training data to correlate frequency ranges with blood pressure values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If radio frequency signals are transmitted at regular frequencies, then the transmission process is simple and efficient, but the analytes related to blood pressure do not have enough time to return to their original state, causing distorted reflected signals
Solution Approach 1:
The patent applies dynamics by transitioning from static regular frequency transmission to dynamic randomized frequency transmission. The system varies the frequency of RF signals over time according to a randomized pattern, allowing analytes to fully return to their original state between transmissions. This dynamic approach resolves the contradiction by improving measurement precision through adequate relaxation time while managing device complexity through algorithmic frequency randomization rather than physical system complexity.
Solution Approach 2:
The patent changes the frequency parameter of RF signals from constant regular values to varying randomized values. By modifying the frequency parameter dynamically based on a randomization pattern, the system enables analytes to relax between transmissions. This parameter change resolves the technical contradiction by allowing sufficient relaxation time for accurate measurement while maintaining transmission efficiency through automated frequency adjustment.
2Productivity
If radio frequency signals are transmitted continuously at increasing frequency, then more data can be collected faster, but the analytes remain charged and do not return to their original state, distorting the reflected signals
Solution Approach 1:
The patent implements periodic action through randomized frequency transmission patterns. Instead of continuous increasing frequency transmission, the system uses periodic transmissions with randomized frequency intervals. This allows analytes to relax during the periods between transmissions while still collecting data at an efficient rate. The periodic randomized approach resolves the contradiction by balancing data collection productivity with measurement precision through adequate relaxation periods.
Solution Approach 2:
The patent applies dynamics by using dynamic frequency randomization rather than static continuous increasing frequency. The frequency pattern adapts over time with randomization, creating dynamic transmission intervals that allow analyte relaxation. This dynamic approach maintains high data collection productivity while ensuring measurement precision through variable relaxation periods between transmissions.
3Object-generated harmful factors
If beamforming and Doppler effect filtering are used, then unnecessary reflected radio waves can be filtered, but the accuracy of monitoring blood pressure levels is not enhanced
Solution Approach 1:
The patent converts the harmful effect of reflected radio waves into a beneficial feature by using frequency randomization. Instead of trying to filter out reflections using complex signal processing like beamforming and Doppler filtering, the system uses randomized frequency transmission to make the reflections themselves carry useful information. The frequency randomization causes the reflected signals from different tissues to have different frequency patterns, allowing the system to distinguish between useful and harmful reflections. This approach converts the harmful reflections into beneficial differentiation cues, resolving the contradiction by achieving measurement precision without relying on complex filtering that doesn't actually improve accuracy.
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 enhances the accuracy of blood pressure monitoring by reducing the charging effect on blood pressure-related ions, providing clearer reflected signals and improving measurement reliability.
Implementation Method 1
receiving reflected wavelengths to determine the health parameters
Implementation Method 2
some received wavelengths are filtered using beamforming and the Doppler effect
Data Source
AI summary
A method for training a model to monitor the health parameters of a user. The method includes monitoring a blood pressure of a user using a control blood pressure monitoring system; receiving control data corresponding to the monitoring using the control blood pressure monitoring system; inputting a frequency range and a frequency-time event and calculating a randomized frequency range; incrementing the frequency-time event; transmitting the calculated randomized frequency and matching the frequency-time limit with the stored frequency-time limit; receiving the calculated randomized frequency range corresponding to radio waves that have reflected from blood in a blood vessel of the user; generating training data by combining the control data with the randomized frequency range in a time synchronous manner; and training a model using the training data. The trained model correlates frequency range to values indicative of the user's blood pressure.