Central Pulse Waveform Reconstruction via Frequency-Domain Non-Linear Mapping
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Solution Overview
Problem
Current methods for reconstructing central pulse pressure waveforms from peripheral measurements are inaccurate due to variability in physiological parameters between subjects and poor generalizability to new subjects.
Innovation Solution
A method involving the conversion of a peripheral pulse pressure waveform to a frequency-domain representation, followed by the application of a non-linear mapping to predict the frequency components of a central pulse pressure waveform, and subsequent conversion back to the time domain.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the generalized transfer function (GTF) method is used to reconstruct central pulse pressure waveforms from peripheral measurements, then the reconstruction process can be performed using a standardized approach, but the accuracy deteriorates due to variability in physiological parameters between subjects and poor generalizability to new subjects
Solution Approach 1:
The patent transforms the central pulse pressure waveform reconstruction problem from the time domain to the frequency domain, where the waveform is represented as a sum of harmonic components. By operating in the frequency domain, the method can apply non-linear mappings to individual frequency components, allowing for subject-specific physiological parameter variations to be captured while maintaining a systematic reconstruction framework. This resolves the contradiction by enabling both standardization (through the systematic frequency-domain approach) and accuracy (through subject-specific non-linear mappings of frequency components).
Data Source
AI summary
The disclosure relates to techniques for transferring a pulse pressure waveform signal of a peripheral vascular site to a central vascular site. In some implementations, a method includes: obtaining a time-domain representation of a first pulse pressure waveform signal of a brachial artery of a subject; converting the time-domain representation of the first pulse pressure waveform signal to a frequency-domain representation of the first pulse pressure waveform signal; selecting a first plurality of frequency components of the frequency-domain representation of the first pulse pressure waveform signal; predicting, using a non-linear mapping, based on the first plurality of frequency components, a second plurality of frequency components of a frequency-domain representation of a second pulse pressure waveform signal of an ascending aorta or left ventricle of the subject; and converting the frequency-domain representation of the second pulse pressure waveform signal to a time-domain representation of the second pulse pressure waveform signal.