Autonomic Dysfunction Diagnosis via Cardio-Respiratory Signal Segmentation
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Solution Overview
Problem
Current methods for assessing autonomic nervous system function, such as the tilt-table test, are inadequate for differentiating between sympathetic and parasympathetic activities, leading to inconclusive results and improper treatment of conditions like Postural Orthostatic Tachycardia Syndrome (POTS) and Vasovagal Syncope (VVS), which can become disabling if not correctly diagnosed and treated.
Innovation Solution
A method involving continuous cardiorespiratory monitoring and signal processing techniques to isolate and differentiate sympathetic and parasympathetic activities through respiratory and EKG data analysis, using challenges like slow paced breathing, Valsalva maneuvers, and postural changes, enabling precise diagnosis of dysfunctions like POTS and VVS.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If tilt-table test is used to assess autonomic nervous system function, then standard challenge for autonomic assessment is provided, but differentiation between sympathetic and parasympathetic activities is lost and results become inconclusive
Solution Approach 1:
The patent segments the autonomic nervous system assessment into separate sympathetic and parasympathetic components by analyzing distinct physiological parameters (heart rate variability, respiratory rate, blood pressure responses) during standardized challenges, allowing independent evaluation of each branch's function
Solution Approach 2:
The patent uses mathematical modeling and signal processing algorithms as intermediaries to extract and differentiate sympathetic and parasympathetic contributions from composite physiological signals, enabling separation of mixed autonomic responses
2Measurement precision
If standard autonomic testing methods are used, then general autonomic function is assessed, but specific diagnosis of POTS and VVS cannot be differentiated
Solution Approach 1:
The patent applies local quality analysis by examining specific physiological response patterns (heart rate acceleration, blood pressure maintenance, respiratory variability) during targeted challenges to identify disorder-specific signatures rather than relying on global autonomic assessment
Solution Approach 2:
The patent employs dynamic challenge protocols that progressively stress the autonomic system in controlled sequences, allowing real-time observation of transitional responses that reveal specific disorder characteristics and enable accurate differentiation between POTS and VVS
3Productivity
If improper treatment is provided due to incorrect diagnosis, then treatment costs and hospitalizations increase, but early accurate diagnosis enables reduced medication load and healthcare costs
Solution Approach 1:
The patent performs preliminary comprehensive autonomic assessment using multiple challenge protocols and detailed physiological monitoring before treatment decisions are made, ensuring accurate diagnosis and appropriate treatment selection from the outset to avoid costly trial-and-error approaches
Data Source
AI summary
Diagnostic methods for assessing the parasympathetic and sympathetic nervous systems separately and simultaneously are disclosed. These methods involve collecting pulse and respiratory data during a series of repeated, escalating challenges, and plotting the data on a time series utilizing signal processing. From this data, parasympathetic excess (PE), sympathetic excess (SE), and alpha-sympathetic withdrawal (SW) can be determined, and several conditions diagnosed and treated based on the observation of PE, SE, and/or SW during various stages of the challenges.