Arterial Blood Pressure Waveform Feature Detection and Dicrotic Notch Classification
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Solution Overview
Problem
Current methods for monitoring arterial blood pressure waveforms are inconsistent and unreliable, particularly in diagnosing neuropathological conditions, due to variations in ultrasound wave incidence angles and the difficulty in stabilizing measurements with transcranial Doppler techniques.
Innovation Solution
A feature detection method and device that automatically identify peaks, troughs, systolic peaks, dicrotic notches, and dicrotic peaks in arterial blood pressure waveforms, classifying dicrotic notches as normal or transient to enhance monitoring reliability and predict clinical situations, including brain damage diagnosis and prognosis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If transcranial Doppler (TCD) is used to measure blood flow velocity, then cerebrovascular information can be obtained, but measurement stability and consistency deteriorate due to variations in ultrasound wave incidence angles
Solution Approach 1:
The patent replaces the mechanical TCD measurement system with a photoplethysmography (PPG)-based optical system. Instead of using ultrasound waves that are sensitive to incidence angles, the invention uses light absorption and scattering properties of blood to detect arterial blood pressure waveforms, thereby eliminating the mechanical alignment problem while maintaining measurement reliability
Solution Approach 2:
The patent introduces an optical intermediary (light) as a mediator between the sensor and blood vessels. By using PPG technology, the system indirectly measures blood pressure waveform characteristics through light absorption changes in the tissue, avoiding direct mechanical contact and angle-dependent ultrasound measurement issues
2Reliability
If manual analysis of ABP waveform is performed, then clinical diagnosis can be made, but time consumption and subjectivity increase
Solution Approach 1:
The patent implements an automated feature detection system that performs morphological analysis of ABP waveforms without human intervention. The system automatically identifies peaks, troughs, notches, and other characteristic points, and calculates clinical parameters, enabling the system to serve itself in the diagnostic process while maintaining high accuracy and eliminating subjectivity
Solution Approach 2:
The patent transforms the manual qualitative analysis process into automated quantitative parameter extraction. By detecting morphological features and calculating numerical parameters (such as pulse pressure, mean arterial pressure, and waveform indices), the system converts subjective visual assessment into objective, time-efficient numerical diagnostics
Data Source
AI summary
The present invention relates to a device and a method for detecting a feature of an arterial blood pressure (ABP) waveform. The feature detecting method of an ABP waveform according to an exemplary embodiment of the present invention includes: searching a peak and a trough; detecting a systolic peak based on a time interval between a peak and a neighboring peak and an average pressure value; detecting a pulse onset with respect to a trough directly before the systolic peak; extracting a candidate of a dicrotic notch based on a magnitude of the systolic peak and a measurement time; detecting a point having a lowest pressure value among candidates of the dicrotic notch as a dicrotic notch and detecting a dicrotic peak based on the dicrotic notch; and classifying the detected dicrotic notches into a normal notch and a transient notch.