AI Blood Parameter Measurement Across Variable Conduits

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing blood parameter measurement probes in extra-corporeal blood circuits suffer from inaccuracies due to variations in conduit hardness and color, requiring complex mathematical formulas and user calibration, which affect measurement accuracy and speed.

Innovation Solution

A device equipped with a control unit that utilizes artificial intelligence, specifically neural networks, to autonomously measure blood parameters based on previous training data, eliminating the need for user calibration and accounting for conduit variations through encoded calculation models and device-specific information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If complex mathematical formulas are used to calculate blood parameters, then measurement coverage is expanded, but measurement accuracy deteriorates due to inability to account for conduit variations

Engineering Contradiction:
Improvemeasurement coverageVSAvoidmeasurement accuracy
Core Design Contradiction:
Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The device performs self-calibration by automatically detecting conduit characteristics and adjusting measurement parameters accordingly. The control unit autonomously adapts to different conduits without requiring manual user calibration, thereby maintaining high accuracy across varying conduit types while expanding measurement coverage.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system dynamically changes measurement parameters based on detected conduit properties. By monitoring conduit characteristics and adjusting optical or electrical parameters in real-time, the device maintains measurement accuracy across different conduit formulations, hardness levels, and colors.

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If user calibration is required before measurement, then measurement accuracy can be maintained, but measurement speed and ease of operation deteriorate

Engineering Contradiction:
Improvemeasurement accuracyVSAvoidmeasurement speed
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The device performs self-calibration by automatically detecting conduit characteristics and adjusting measurement parameters accordingly. The control unit autonomously adapts to different conduits without requiring manual user calibration, thereby maintaining high accuracy across varying conduit types while expanding measurement coverage.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The device performs preliminary calibration automatically upon insertion into a conduit, before actual measurements are taken. This preliminary self-adjustment ensures that the system is already optimized for the specific conduit being used, eliminating the need for manual calibration steps and improving measurement speed.

Inventive Principle:
Principle #10Preliminary action

3Measurement precision

If manual calibration by end user is performed, then measurement accuracy is maintained, but device complexity and operation complexity increase

Engineering Contradiction:
Improvemeasurement accuracyVSAvoidoperation complexity
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The device performs self-calibration by automatically detecting conduit characteristics and adjusting measurement parameters accordingly. The control unit autonomously adapts to different conduits without requiring manual user calibration, thereby maintaining high accuracy across varying conduit types while expanding measurement coverage.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system continuously monitors conduit characteristics and provides feedback to adjust measurement parameters automatically. This closed-loop control ensures accurate measurements while simplifying operation, as the device self-adjusts without requiring user intervention or complex manual calibration procedures.

Inventive Principle:
Principle #23Feedback

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

The device provides accurate and efficient measurement of multiple blood parameters, such as oxygen saturation, hematocrit, and hemoglobin, without user calibration, ensuring high accuracy and quick results across different conduits.

Implementation Method 1

at least one excitation member configured to excite blood, in particular a blood flow, with electromagnetic radiation at a plurality of determined wavelengths

Methodology Applied
Scientific EffectElectromagnetic radiation excitation: Electromagnetic Induction

Implementation Method 2

at least one electromagnetic radiation detecting member configured to detect a plurality of electromagnetic responses of the blood comprising electromagnetic radiation being retro-reflected or diffused by blood

Methodology Applied
Scientific EffectLight detection: Photoelectric Effect

Data Source

PatentUS20250259719A1Device And Method For Measuring A Plurality Of Blood Parameters By Artificial Intelligence
Publication Date: 2025.08.14 DATAMED SRL
  • US20250259719A1 patent drawing
  • US20250259719A1 patent drawing
  • US20250259719A1 patent drawing

AI summary

The present invention relates to a device (1, 1′) and a method for simultaneously measuring a plurality of blood parameters by means of artificial intelligence. The invention provides for: exciting blood with electromagnetic radiation at a plurality of determined wavelengths, receiving analog information relating to the plurality of electromagnetic and/or light responses of the blood comprising electromagnetic radiation retroreflected or diffused by the blood, converting the analog electromagnetic and/or light response information into digital electromagnetic and/or light response data, processing the digital electromagnetic and/or light response data and the actual temperature value of the blood by means of one or more neural networks (NN) and determining, as a result of the processing operation, the value of each parameter.