Multi-Vital Data Evaluation for Accurate Patient Status Estimation

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Solution Overview

Problem

Medical professionals face challenges in continuously monitoring and assessing a patient's status based on multiple vital data, making it difficult to provide timely and appropriate medical care.

Innovation Solution

A vital data evaluation system that acquires and processes multiple types of vital data, generates functional information, and estimates patient status by analyzing the relationship between these data sets, providing action information for treatment and displaying this information to facilitate accurate patient monitoring.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If multiple types of vital data are acquired and processed to improve patient status estimation accuracy, then the reliability of patient status determination is improved, but the device complexity and difficulty of continuous monitoring increase

Engineering Contradiction:

Improvepatient status estimation accuracyVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system segments the complex task of patient status evaluation by dividing it into distinct functional modules: a data acquisition unit that collects multiple vital data types, a function information generation unit that processes each data type separately using appropriate basis functions, and a patient status information generation unit that integrates the processed information. This segmentation allows complex multi-parameter monitoring to be handled through standardized, independent processing stages.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system employs a universal processing framework that can handle multiple types of vital data (first vital data, second vital data, etc.) through the same basis function generation and integration mechanism. The basis function generation unit can select and apply appropriate mathematical basis functions regardless of the specific vital data type, making the system multi-functional and adaptable to various monitoring requirements without increasing structural complexity.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Productivity

If multiple types of vital data are continuously monitored to provide timely medical care, then the productivity of patient monitoring is improved, but the loss of time for data processing increases

Engineering Contradiction:

Improvepatient monitoring efficiencyVSAvoiddata processing time

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary action by pre-defining and storing multiple types of basis functions that can be rapidly applied to vital data during monitoring. Instead of developing complex processing algorithms in real-time, the system has prepared basis function sets in advance that can be quickly selected and applied to incoming vital data, enabling fast processing while maintaining continuous monitoring capability.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system replaces complex mechanical data processing with mathematical basis function transformations. By substituting traditional signal processing methods with basis function expansions (such as Fourier series, wavelet transforms, or polynomial bases), the system achieves rapid processing of multiple vital data types through efficient mathematical operations rather than computationally intensive algorithms.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Manufacturing precision

If basis functions are selected and applied to generate vital data function information, then the manufacturing precision of data processing is improved, but the difficulty of detecting and measuring appropriate basis functions increases

Engineering Contradiction:

Improvedata processing precisionVSAvoidbasis function selection difficulty

Core Design Contradiction:

Manufacturing precisionVSDifficulty of detecting and measuring

Solution Approach 1:

The system introduces an intermediary basis function generation unit that acts as a mediator between raw vital data and patient status evaluation. This unit provides a standardized interface for transforming diverse vital data types into comparable function information through selected basis functions. The intermediary layer abstracts the complexity of basis function selection and application, making the overall system easier to implement while maintaining high processing precision.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20260031235A1Vital data evaluation method, vital data evaluation device, vital data evaluation system, and non-transitory computer-readable medium

Publication Date: 2026.01.29 SHIMADA PATENTS CORP

AI summary

The vital data evaluation method comprises acquiring a first vital data set corresponding to a first type of vital data of a patient; acquiring a second vital data set corresponding to a second type of vital data of the patient that is different from the first type of vital data; generating first vital data function information based on the first vital data set; generating second vital data function information based on the second vital data set; and generating patient status information for estimating a status of the patient based on a relationship between the first vital data function information and the second vital data function information.