Homeostatic Risk Assessment Using Multi-Parameter Physiological Sensors
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Solution Overview
Problem
Current diagnostic methods for chronic metabolic diseases like diabetes, cardiovascular disease, and autonomic neuropathy are costly, time-consuming, inaccurate, and do not account for a patient's regulatory abilities, leading to disparities in diagnosis and treatment.
Innovation Solution
A system and method that calculates a homeostatic risk score by analyzing galvanic skin response, bioimpedance, photoplethysmogram, and blood pressure data using spectral analysis and other indicators to provide a precise and automated assessment of a patient's autonomic nervous system and endothelial function.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current diagnostic methods are used for chronic metabolic diseases, then diagnosis and treatment can be provided, but the process is costly, time-consuming, and inaccurate
Solution Approach 1:
The patent segments the diagnostic process into multiple independent measurement components (galvanic skin response, bioimpedance, photoplethysmogram, blood pressure) that can be measured separately and then integrated to form a comprehensive homeostatic risk score, enabling accurate diagnosis without time-consuming comprehensive evaluations
Solution Approach 2:
The patent performs preliminary measurements of multiple physiological parameters simultaneously before conducting comprehensive analysis, allowing the system to pre-calculate baseline values and prepare data for rapid homeostatic risk assessment, thereby reducing overall diagnosis time
2Reliability
If current diagnostic methods are used for chronic metabolic diseases, then treatment can be provided, but the cost is high
Solution Approach 1:
The patent creates a multi-functional diagnostic system that uses a single integrated platform to measure multiple physiological parameters (galvanic skin response, bioimpedance, photoplethysmogram, blood pressure) and assess various aspects of homeostatic function, replacing multiple separate expensive tests with one comprehensive evaluation
Solution Approach 2:
The patent enables the diagnostic system to automatically process measurements and calculate homeostatic risk scores without requiring extensive manual intervention or specialized equipment, allowing healthcare providers to perform accurate assessments using readily available sensors and automated algorithms
3Adaptability or versatility
If current diagnostic methods are used, then disease detection can be performed, but patient regulatory abilities are not considered
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors multiple physiological parameters and uses the collected data to calculate homeostatic risk scores that reflect individual patient regulatory abilities, allowing treatment plans to be adjusted based on real-time assessment of patient-specific homeostatic function
Solution Approach 2:
The patent measures and analyzes changes in multiple physiological parameters (galvanic skin response, bioimpedance, photoplethysmogram, blood pressure) to assess how well a patient's regulatory systems respond to stressors, providing information about adaptive capacity that traditional static measurements cannot capture
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
Enables timely, cost-effective, and accurate screening and treatment management for metabolic diseases by considering multiple factors, improving treatment planning and reducing the risk of disease complications.
Implementation Method 1
a photoplethysmographic signal from a photoplethysmogram sensor
Implementation Method 2
galvanic skin response data from a galvanic skin response sensor
Implementation Method 3
bioimpedance data from a bioimpedance sensor
Data Source
AI summary
A method and system for determining homeostatic risk in a patient, in order to screen metabolic diseases and/or their complications and/or their treatment management, is provided. The method includes receiving, from one or more sensors coupled with the patient, galvanic skin response, bioimpedance, a photoplethysmogram (PTG), and blood pressure from the patient, calculating a first score based on the PTG, calculating a second score based on the galvanic skin response, calculating a third score based on the bioimpedance, calculating a fourth score based on the blood pressure, calculating a homeostatic risk score based on the first, second, third and fourth scores that were calculated, wherein the homeostatic risk score corresponds to the homeostatic risk of the patient, and displaying the homeostatic risk score.