Personalized Aortic Pulse Waveform Estimation From Peripheral Signals
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Solution Overview
Problem
Existing methods for transforming peripheral blood pressure waveforms into central aortic waveforms rely on demographic properties, leading to inaccuracies due to variations in individual vascular dynamics among patients.
Innovation Solution
A method that personalizes the transformation operation using specific vascular features such as arterial compliance and pulse wave velocity, derived from peripheral waveforms, to estimate aortic waveforms, improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If demographic properties (gender, chronological age) are used to configure the transformation operation, then the method is simple to implement, but the accuracy of aortic pulse waveform estimation deteriorates due to individual vascular dynamics variations
Solution Approach 1:
The patent changes the parameters used for transformation configuration from demographic properties (gender, chronological age) to waveform-derived vascular features (arterial compliance, pulse wave velocity, augmentation index). This allows the system to adapt to individual vascular dynamics while maintaining a systematic approach to transformation, thereby improving accuracy without excessive complexity
Solution Approach 2:
The patent introduces feedback by using the measured peripheral waveform features to configure the transformation operation. The system extracts features from the actual patient waveform and uses these to personalize the transformation, creating a closed-loop approach that adapts to individual patient characteristics and improves estimation accuracy
2Adaptability or versatility
If population average demographic classification is used, then the transformation method is universally applicable, but accuracy deteriorates when patient vasculature deviates from population averages
Solution Approach 1:
The patent applies local quality by personalizing the transformation operation for each patient based on their specific waveform features. Instead of using a single universal transformation for all patients, the system configures patient-specific transformation parameters based on their individual vascular characteristics, thereby improving accuracy for patients who deviate from population averages
Solution Approach 2:
The patent introduces dynamics by making the transformation operation adaptable to individual patient characteristics through waveform feature extraction. The system dynamically configures transformation parameters based on each patient's measured vascular properties, allowing the method to adapt to varying vascular conditions while maintaining universal applicability across different patient populations
Data Source
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AI summary
A method for inferring a central (e.g. aortic) blood pulse waveform from a peripheral pulse waveform. The method comprises configuring a transformation operation from the peripheral to central waveforms based on one or more waveform features of the measured peripheral pulse waveform.