Noninvasive Vital Parameter Detection via Color Model Pulse Wave Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing non-invasive blood pressure measurement methods using mobile devices are disrupted by motion artifacts, leading to inaccurate results due to changes in limb position and movement, which affect the interpretation of pulse wave transit times and brightness.
Innovation Solution
The method employs color models, specifically converting total brightness into the YCbCr model and then calculating RGB for a three-dimensional display of pulse waves, allowing separation and analysis of individual color components to filter out motion artifacts and improve data accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If contactless vital parameter determination is implemented, then patient comfort and hygiene are improved, but measurement precision deteriorates due to lower signal quality compared to contact methods
Solution Approach 1:
The camera system is divided into multiple cameras arranged in a specific geometric configuration, where each camera captures light from different angles. This segmentation allows the system to process multiple independent light paths and combine them to enhance the overall signal quality while maintaining contactless operation.
Solution Approach 2:
The system uses a standard camera system that can perform both conventional imaging and photoacoustic detection functions. The same camera hardware is utilized for different measurement modes, allowing the system to achieve contactless vital parameter monitoring without requiring specialized contactless sensors, thereby improving signal quality through versatile hardware utilization.
2Measurement precision
If conventional photoacoustic detection is used, then measurement capability is achieved, but the system cannot distinguish between absorption changes due to oxygen saturation and other absorption changes
Solution Approach 1:
The detection system is segmented into multiple cameras positioned at different locations, each capturing photoacoustic signals from different spatial angles. By analyzing the spatial distribution and angular dependence of the detected signals, the system can differentiate between absorption changes caused by oxygen saturation variations and those caused by other factors such as melanin or hemoglobin concentration changes.
Solution Approach 2:
Different regions of the detection volume exhibit distinct photoacoustic absorption characteristics. The system exploits the local quality differences in tissue absorption at various depths and locations, where oxygenated and deoxygenated hemoglobin have different absorption spectra and spatial distribution patterns, enabling differentiation of absorption sources through multi-angle detection.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the accuracy of blood pressure measurements by distinguishing between different color components, providing clearer insights into vascular conditions and enabling continuous, reliable monitoring.
Implementation Method 1
a) providing, by a light source, light pulses directed towards a body part of the living organism
Implementation Method 2
b) determining, by a camera system, optical light reflected or transmitted from the body part
Data Source
Figure 1~3
Figure 4
Figure 5.1~6
AI summary
The invention relates to a method for noninvasively determining vital parameters of a living organisms, in particular for the one-time or continuous measurement and/or monitoring of blood pressure, by means of a device having at least one optical recording unit and having a computing unit by recording a series of individual image data of a restricted region of the skin of the living organism by means of the optical recording unit, evaluating the image data, comprising determining a pulse wave propagation time and detecting the brightnesses of the pulse wave and determining one or more vital parameters of the organism from the image data by means of the computing unit, which method is characterized in that, in the pulse wave measurement with a certain light color, the sensed total brightnesses of the pulse wave of at least one RR interval are split into discrete colors by means of suitable color models.