Multiaxis Diagrams for Medical Sensor Data Visualization

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Solution Overview

Problem

Medical monitoring systems face challenges in quickly recognizing critical patient situations due to the overwhelming amount of data displayed, which can be difficult for physicians to interpret, especially under stress during extreme medical situations.

Innovation Solution

The use of multiaxis diagrams that relate the position of axes to the spatial arrangement of sensors on the patient, providing a two- or three-dimensional representation of data, allowing for faster pattern recognition and evaluation of patient conditions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If multiple sensors are used to collect comprehensive medical data, then the quantity and completeness of information is improved, but the complexity of data interpretation and recognition is worsened

Engineering Contradiction:
Improvequantity of medical dataVSAvoidcomplexity of data interpretation
Core Design Contradiction:
Quantity of substanceVSDevice complexity

Solution Approach 1:

The patent transforms one-dimensional numerical sensor data into two-dimensional spatial visualizations by mapping sensor positions onto anatomical representations. This dimensional transformation allows physicians to perceive spatial relationships and patterns that are invisible in traditional numerical displays, thereby improving recognition speed without sacrificing data completeness

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The patent creates visual copies or representations of the physical sensor arrangement on the patient's body. Instead of displaying raw numerical data from multiple sensors, the system generates a graphical model that copies the spatial configuration of sensors and their readings, making the data intuitively understandable while maintaining the comprehensive information from all sensors

Inventive Principle:
Principle #26Copying

2Reliability

If comprehensive medical parameters are displayed to provide complete information, then the reliability of monitoring is improved, but the speed of recognition by physicians is worsened

Engineering Contradiction:
Improvecompleteness of monitoring informationVSAvoidtime for physician recognition
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

By transforming numerical data into spatial visualizations that preserve anatomical relationships, the system enables physicians to quickly grasp the overall patient status and identify critical patterns at a glance, significantly reducing recognition time while maintaining complete monitoring coverage through the integrated display of multiple sensor parameters in their spatial context

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

3Device complexity

If traditional arbitrary axis displays are used for sensor data, then the simplicity of display is improved, but the spatial information preservation is worsened

Engineering Contradiction:
Improvesimplicity of display arrangementVSAvoidspatial information of sensors
Core Design Contradiction:
Device complexityVSLoss of information

Solution Approach 1:

The patent applies local quality by making each axis or display element correspond to a specific anatomical location or sensor position on the patient's body. This localized mapping preserves the spatial information of each sensor while maintaining visual simplicity, as each part of the display has a specific meaning related to its anatomical origin rather than using arbitrary axes

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS8515531B2Method of medical monitoring
Publication Date: 2013.08.20 KONINKLIJKE PHILIPS NV
  • US8515531B2 patent drawing
  • US8515531B2 patent drawing
  • US8515531B2 patent drawing

AI summary

A method of medical monitoring using data collected by a number of sensors, wherein the position of the sensors form a predefined arrangement and collected data depend on the position of the sensor on the patient. The method includes displaying data using a number of multiaxis diagrams where the position of the axes is related to the position of the sensors in the predefined arrangement, and on each axis data from its related sensor is displayed. Further, a multiaxis diagram is used, wherein each axis represents a particular dimension of data and spatial information is displayed in addition to the pure values. With this additional information a two- or three-dimensional representation and localization of data is provided. The technique allows a more effective recognition of monitored data and enables physicians to perform a fast pattern recognition to recognize and evaluate a patient's situation in a quicker and more effective way.