Non-invasive RF Analyte Sensors via Raman Fusion
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Solution Overview
Problem
Current health monitoring systems lack non-invasive, real-time capabilities for accurately measuring blood analytes like glucose levels, often requiring invasive methods and struggling with environmental and patient-related interference, leading to inaccurate and unreliable readings.
Innovation Solution
A system utilizing radio frequency (RF) signals and integrated Raman laser technology for non-invasive analyte detection, combined with machine learning algorithms to match and fuse data from multiple sources, providing comprehensive and accurate health parameter monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If non-invasive devices are used to measure health parameters, then patient comfort is improved, but measurement accuracy deteriorates due to inability to detect blood analytes
Solution Approach 1:
The patent combines multiple measurement modalities (Raman laser spectroscopy, impedance sensing, optical detection) into a single non-invasive device. This merging allows the system to detect blood analytes through tissue without invasion while compensating for individual method limitations through data fusion, thereby maintaining both patient comfort and measurement accuracy
Solution Approach 2:
The patent uses tissue as an intermediary medium to access blood analytes. Instead of direct blood contact, the device measures analyte concentrations through tissue barriers using Raman scattering and other optical/electrical phenomena that can penetrate tissue, enabling non-invasive measurement while maintaining analytical capability
2Device complexity
If single-source data is used for health monitoring, then device complexity is reduced, but diagnostic comprehensiveness deteriorates
Solution Approach 1:
The patent creates a multi-functional monitoring system that simultaneously measures multiple health parameters (glucose, lactate, ketones, hydration, temperature) using a single device platform. This universal approach provides comprehensive diagnostic information without requiring multiple separate devices, balancing complexity and comprehensiveness
3Ease of operation
If non-invasive methods are used for analyte detection, then patient discomfort is reduced, but measurement reliability deteriorates due to environmental and physiological interference
Solution Approach 1:
The patent incorporates feedback mechanisms where the system continuously monitors multiple parameters and uses this information to adjust and correct measurements in real-time. The multi-modal sensing provides redundant information that can be cross-validated, allowing the system to compensate for environmental and physiological interferences while maintaining measurement reliability
Solution Approach 2:
The patent employs composite sensing approaches that combine multiple detection methodologies (optical, electrical, thermal) within a single system. This composite approach creates a robust measurement platform that can distinguish true analyte signals from environmental noise through pattern recognition and data fusion
Data Source
AI summary
Non-invasive radio-frequency analyte sensors, systems and methods are described that can be used for measuring one or more analytes using a real-time, non-invasive radio frequency analyte detection device. The sensors, systems and methods provide non-invasive and real-time techniques of measuring analytes and may have applications in various fields, including medical diagnostics and environmental monitoring.