Arteriosclerosis Index Calculation via Composite Waveform Decomposition
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Solution Overview
Problem
Existing methods for measuring the degree of arteriosclerosis, such as pulse wave analysis, face challenges in accurately detecting the start point of the reflected wave, leading to inaccuracies in calculating indices like Tr, which affects the accuracy of arteriosclerosis assessment.
Innovation Solution
A blood pressure information measurement device and method that decompose the pulse waveform into ejected and reflected waves using a more accurate approach by generating an estimated blood flow waveform through compositing pseudo waveforms based on factor information, allowing for a more precise calculation of arteriosclerosis indices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the pulse waveform is decomposed into ejected and reflected waves using conventional methods (e.g., transfer function method or triangle waveform approximation), then the measurement process is simple, but the accuracy of detecting the reflected wave start point and calculating arteriosclerosis indices is insufficient
Solution Approach 1:
The patent changes the parameter representation from simple triangle waveforms to composite waveforms formed by superimposing multiple pseudo-blood flow waveforms. This parameter change enables more accurate representation of actual blood flow characteristics, improving the accuracy of reflected wave detection and arteriosclerosis index calculation while managing the increased complexity through systematic waveform synthesis
Solution Approach 2:
The patent applies the composite principle by creating a composite waveform model that combines multiple pseudo-blood flow waveforms. This composite approach captures the complex characteristics of actual blood flow more accurately than single-waveform approximations, enabling precise decomposition of the pulse waveform into ejected and reflected components for accurate arteriosclerosis assessment
Data Source
AI summary
A CPU acquires factor information for a degree of arteriosclerosis, stores a plurality of pseudo blood flow waveforms, generates a waveform estimated as a blood flow waveform by compositing the plurality of pseudo blood flow waveforms based on the factor information, decomposes a pulse waveform into waveforms of an ejected wave and a reflected wave using the pulse waveform and the waveform estimated as the blood flow waveform, and calculates an index of the degree of arteriosclerosis from a relationship between the ejected wave and the reflected wave obtained by decomposing the pulse waveform.