Vital Information Display Device Waveform Profile Factor Analysis
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Solution Overview
Problem
Current devices for displaying vital information that exhibits temporal variation, such as carbon dioxide concentration in respiration gas, struggle to effectively assist medical workers in determining conditions like chronic obstructive pulmonary disease, ventilation state, and respiratory circuit abnormalities, as they lack detailed waveform analysis features.
Innovation Solution
A vital information displaying device comprising an input interface, processor, and display section that generates waveform information and calculates profile factors like rising and falling angles, velocities, and time intervals, allowing for the display of these parameters to assist medical workers in diagnosing conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If waveform information is displayed with detailed profile factors (rising angle, falling angle, velocities, time intervals), then measurement precision and diagnostic accuracy are improved, but device complexity increases
Solution Approach 1:
The waveform analysis is segmented into multiple profile factors (rising angle, falling angle, rising velocity, falling velocity, top portion angle, time intervals). Each factor is calculated and displayed separately, allowing the complex waveform analysis to be broken down into manageable components that can be processed and presented systematically without overwhelming the display system or the user.
Solution Approach 2:
The patent transitions from displaying only the basic waveform to adding multiple dimensional parameters (angles, velocities, time intervals) that describe the waveform characteristics. This dimensional expansion allows for more comprehensive analysis by incorporating additional parameters that provide deeper insights into the waveform behavior without requiring a complete redesign of the display system.
2Reliability
If multiple profile factors are calculated and displayed, then diagnostic accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
The system provides continuous feedback by calculating and displaying profile factors in real-time as the waveform is captured. This feedback mechanism allows medical workers to immediately see the quantitative analysis results without manually measuring the waveform, reducing the operational burden while maintaining high diagnostic accuracy through automated computation.
Solution Approach 2:
The system performs self-service by automatically calculating all profile factors (rising angle, falling angle, velocities, time intervals) without requiring manual intervention or complex user input. The waveform data is processed autonomously to generate the diagnostic parameters, freeing medical workers from manual measurement tasks while providing accurate diagnostic information.
Data Source
AI summary
An input interface is configured to receive a signal corresponding to vital information that exhibits temporal variation. When at least one instruction stored in a memory is executed by a processor, waveform information (W) is generated based on the signal; a value of a profile factor of the waveform information (W) is obtained every time a predetermined time period is elapsed; and the value is displayed on the display section (15). The profile factor includes at least one of a rising angle, a top portion angle, a falling angle, a rising velocity, an absolute value of the rising velocity, a top portion velocity, an absolute value of the top portion velocity, a falling velocity, an absolute angle of the falling velocity, an under-waveform area, a rising-falling time interval, a falling-rising time interval, a rising-rising time interval and a falling-falling time interval.


