Blood Coagulation Waveform Analysis for Poor Collection Detection
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Solution Overview
Problem
Current methods for determining poor blood collection in coagulation tests are subjective and lack objectivity, leading to varying accuracy based on the proficiency of the determiner, as they rely on visual observation rather than objective measurements.
Innovation Solution
A method involving mixing a blood specimen with a blood coagulation measurement reagent to create a measurement sample, obtaining coagulation waveform data from the sample, and using this data to objectively determine poor blood collection through analysis of coagulation parameters such as rate and time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If visual observation is used to determine poor blood collection, then the method is simple and easy to perform, but the determination accuracy varies depending on the proficiency of the determiner
Solution Approach 1:
The patent replaces the manual visual observation method with an automated image processing system. The system captures images of the blood specimen tube and automatically analyzes coagulation waveform characteristics using computer algorithms, eliminating human subjectivity and proficiency variations while maintaining operational simplicity.
Solution Approach 2:
The system performs self-diagnosis by automatically analyzing the coagulation waveform characteristics and determining poor blood collection status without requiring skilled human determiners. The automated analysis system independently evaluates specimen quality based on predefined criteria, making the determination process both simple and accurate.
2Device complexity
If visual observation is used to determine poor blood collection, then no additional equipment is needed, but the determination accuracy is insufficient for reliable coagulation testing
Solution Approach 1:
The patent replaces manual visual inspection with an automated image analysis system that captures and processes images of the blood specimen. The system uses digital imaging and computer algorithms to objectively measure coagulation waveform characteristics, providing high determination accuracy while keeping the overall system relatively simple and integrated.
Solution Approach 2:
The patent introduces an intermediary image processing system that bridges the gap between simple visual observation and complex automated analysis. The system captures images as intermediate data and uses algorithms to extract meaningful coagulation characteristics, achieving accurate determination without requiring overly complex equipment.
3Measurement precision
If automated image processing is used to determine poor blood collection, then determination accuracy is improved, but the device complexity increases
Solution Approach 1:
The patent integrates the poor blood collection determination function into the existing coagulation analysis system, allowing the same system to perform both coagulation testing and specimen quality assessment. This multi-functionality approach improves determination accuracy while avoiding the need for separate, additional equipment that would increase overall system complexity.
Solution Approach 2:
The patent combines the image capture, processing, and coagulation analysis functions into a single integrated system. By merging these functions, the system achieves high determination accuracy through automated image processing while minimizing device complexity through consolidation rather than adding separate independent components.
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 provides a standardized and objective method for identifying poor blood collection, reducing variability and improving accuracy by analyzing coagulation waveform data to assess the quality of blood specimens.
Implementation Method 1
If a tissue fluid containing a tissue factor is mixed in a blood specimen, blood coagulation is initiated and fibrin deposition is started
Data Source
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AI summary
Disclosed is a poor blood collection determination method that includes: mixing a blood specimen and a blood coagulation measurement reagent to prepare a measurement sample; obtaining measurement values representing a degree of coagulation of the blood specimen from the measurement sample; obtaining coagulation waveform data of the blood specimen based on a plurality of the measurement values; and performing determination as to poor blood collection of the blood specimen based on the coagulation waveform data.