Micro-Coherence Oximetry Network Strength Assessment System
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Solution Overview
Problem
Current healthcare systems inadequately address stress management and behavioral factors contributing to chronic diseases, leading to inefficient stress management and increased healthcare costs, with existing psychological assessments being limited in their analytical capabilities.
Innovation Solution
An AI-driven system for assessing and optimizing the Micro-Coherence Oximetry Network Strength (MCO-S) through sensors measuring brain waves, heart rate variability, and galvanic skin conductance, integrating deep behavior modification programs for breath control, interval fitness, and brain wave regulation to enhance stress management and cognitive function.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional psychometric assessments are used for stress management, then the assessment process is simple and easy to administer, but the analytical capabilities are limited and cannot provide deep behavioral insights
Solution Approach 1:
The patent combines multiple assessment modalities including psychometric assessments, psychophysiological measurements (HRV, GSR, skin temperature), and task-based cognitive assessments into a unified integrated assessment system. This merging enables comprehensive analytical capabilities while maintaining systematic organization through centralized processing and AI-driven analysis.
Solution Approach 2:
The patent introduces an AI-driven analysis engine as an intermediary that processes raw data from multiple sensors and assessment tasks, transforming them into actionable behavioral insights. This intermediary layer handles the complexity of data integration and analysis, allowing the system to provide deep analytical capabilities without overwhelming the user interface.
2Reliability
If healthcare systems focus on biomedical interventions for chronic diseases, then disease treatment is addressed, but stress management and behavioral factors are neglected leading to increased healthcare costs
Solution Approach 1:
The patent creates a multi-functional system that simultaneously addresses chronic disease management, stress management, and behavioral optimization. The integrated assessment and behavioral modification platform serves multiple health objectives including diabetes management, hypertension control, and stress reduction, making the healthcare system more versatile and adaptable to diverse patient needs.
Solution Approach 2:
The patent implements preliminary behavioral assessments and stress management interventions before chronic diseases fully develop or worsen. By continuously monitoring psychophysiological parameters and providing early behavioral modifications, the system prevents stress-related chronic conditions and reduces the need for costly biomedical interventions later.
3Productivity
If Americans receive little or no stress management support from healthcare providers, then healthcare consultations are brief and focused on biomedical issues, but stress levels increase and chronic disease risk rises
Solution Approach 1:
The patent empowers patients to conduct self-assessments of their stress levels, cognitive functions, and behavioral patterns using the integrated assessment platform. Patients receive immediate feedback and personalized behavioral modification recommendations without requiring extended provider time. This self-service capability maintains consultation efficiency while enabling comprehensive stress management.
Solution Approach 2:
The patent implements continuous feedback loops where patients' psychophysiological data, assessment responses, and behavioral changes are monitored and fed back to both patients and providers. This feedback mechanism enables providers to efficiently track patient progress, adjust treatment plans, and address stress-related issues without requiring lengthy follow-up consultations.
Data Source
AI summary
A subject's Default Mode Network is accessed through corresponding measurements of the Micro-Coherence Oximetry Network Strength (MCO-S). An associated MCO-S system (100) includes a wearable (102), a user device (112) and a processing platform (123). The wearable (102) collects subject information sufficient to enable monitoring and optimization of the subject's Default Mode Network include sensors such as pulse oximetry instrumentation and EEG electrodes to obtain brainwave data, oxygen saturation data, heart rate variability data, and galvanic skin conductance data. Information from the sensors may be communicated to a user device (112), such as a cell phone or VR headset. The user device (112) communicates with a remote processing platform (123) that may execute artificial intelligence functionality and other logic in connection with assessing the patient's micro-coherence network strength and optimizing behavior modification protocols in relation to attributes and objectives of the subject.