Video-Based Hemodynamic State Identification Using Pulse Wave Analysis
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Solution Overview
Problem
Conventional methods for measuring blood flow, such as laser Doppler and laser speckle techniques, struggle to distinguish between different hemodynamic states like congestive and hyperemic states, and video analysis methods face challenges in accurately measuring blood flow and distinguishing these states.
Innovation Solution
An electronic device equipped with a video processing unit to acquire pulse wave information from videos, a data processing unit to derive baseline and pulse wave amplitude changes, and an identification processing unit to identify hemodynamic states based on these changes, allowing for the differentiation between congestive and hyperemic states using a general-purpose camera.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If laser Doppler or laser speckle methods are used to measure blood flow, then blood flow rate per unit time per unit weight of tissue can be calculated, but it is difficult to distinguish between different hemodynamic states such as congestive andhyperemic states
Solution Approach 1:
The patent segments the pulse wave information into multiple components: baseline values, pulse wave amplitudes, and their respective changes. By analyzing these segmented parameters separately and comparing their relationships, the system can distinguish between different hemodynamic states (congestive,hyperemic,normal) that cannot be differentiated by blood flow rate alone.
Solution Approach 2:
The patent adds a new dimension to blood flow measurement by incorporating temporal baseline changes alongside pulse wave amplitude changes. This creates a two-dimensional analysis space (baseline change vs. amplitude change) that enables differentiation of hemodynamic states, transforming a one-dimensional blood flow rate measurement into a multi-parameter diagnostic tool.
2Ease of operation
If conventional video analysis methods are used to extract pulse waves, then non-contact measurement is achieved, but it is difficult to distinguish between hemodynamic states and accurately measure blood flow
Solution Approach 1:
The patent changes the parameters being analyzed from simple pulse wave presence to multiple derived parameters including baseline values, baseline changes, pulse wave amplitudes, and amplitude changes. By transforming the raw video data into these multiple parameters and analyzing their relationships, the system achieves both non-contact measurement and accurate hemodynamic state differentiation.
3Measurement precision
If specialized laser equipment is used for blood flow measurement, then measurement capability is improved, but device complexity and cost increase
Solution Approach 1:
The patent uses a general-purpose camera to capture video of the measurement site, creating a visual copy of the blood flow dynamics. By analyzing temporal changes in this video data, the system extracts pulse wave information without requiring specialized laser equipment, thereby reducing device complexity while maintaining measurement capability.
Solution Approach 2:
The patent substitutes complex optical measurement systems (laser Doppler, laser speckle) with a simpler video-based optical system. Instead of using laser light and detecting frequency shifts or speckle patterns, the system uses standard video imaging and analyzes temporal luminance changes, replacing sophisticated optical mechanisms with straightforward image processing.
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
Enables accurate identification of hemodynamic states, including congestive and hyperemic states, by analyzing changes in blood flow through video analysis, without the need for specialized equipment like lasers, thus providing a cost-effective and accurate measurement system.
Implementation Method 1
video obtained through imaging of a measurement site of a user
Data Source
AI summary
An electronic device includes at least one processor to execute processing including: acquiring first pulse wave information indicating a pulse wave from first video obtained by imaging at least a part of a body and acquiring second pulse wave information indicating a pulse wave from second video obtained by imaging a part of the body or a part corresponding to the part of body; acquiring, from the first and second pulse wave information, a baseline as an average value of the pulse wave and a pulse wave amplitude as an average amplitude of the pulse wave in a predetermined period of time, and deriving a baseline change rate indicating a change and a pulse wave amplitude change rate indicating a change in pulse wave amplitude; and determining a blood circulation state based on a relation of the baseline change rate and the pulse wave amplitude change rate.