Physiological Information Processing Apparatus for Fluid Responsiveness

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Solution Overview

Problem

Existing methods for determining fluid responsiveness in patients during surgical operations rely on multiple physiological sensors, increasing costs and complexity, and require additional data beyond pulse wave signals to enhance reliability.

Innovation Solution

A physiological information processing method and apparatus that acquires electrocardiogram and pulse wave data to calculate a correlation coefficient between RR intervals and pulse wave transit times, supporting fluid administration decisions by medical personnel using two different physiological data types.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If multiple physiological sensors are used to enhance reliability of fluid administration determination, then measurement precision is improved, but device complexity and cost increase

Engineering Contradiction:
Improvereliability of fluid administration determinationVSAvoidnumber of physiological sensors
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent combines electrocardiogram data and pulse wave data processing into a single integrated system that calculates both RR intervals and pulse wave transit times. This merging approach allows the system to achieve reliable fluid administration determination using two types of physiological data from a limited number of sensors, rather than requiring multiple separate sensing systems.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The processing apparatus is designed to perform multiple functions: it processes electrocardiogram signals to extract RR intervals, processes pulse wave signals to extract transit times, and calculates the correlation coefficient between these parameters. This multi-functionality allows a single device to provide comprehensive fluid responsiveness assessment without requiring additional specialized sensors for each measurement type.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Reliability

If multiple physiological sensors are used to enhance reliability of fluid administration determination, then measurement precision is improved, but cost increases

Engineering Contradiction:
Improvereliability of fluid administration determinationVSAvoidcost of physiological sensors
Core Design Contradiction:
ReliabilityVSEase of manufacture

Solution Approach 1:

The patent merges the functionality of multiple sensing systems into a single integrated processing apparatus that handles both electrocardiogram and pulse wave data. By combining data processing functions within one device, the system reduces the need for multiple separate sensor assemblies and processing units, thereby lowering manufacturing costs while maintaining reliable fluid administration determination.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The processing apparatus is designed as a universal device that can process multiple types of physiological data (electrocardiogram and pulse wave signals) through a single system. This multi-functional design eliminates the need for separate dedicated sensors and processing circuits for each measurement type, reducing overall system cost while achieving reliable fluid responsiveness assessment.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS11172820B2Physiological information processing apparatus, physiological information processing method, and storage medium
Publication Date: 2021.11.16 NIHON KOHDEN CORP
  • US11172820B2 patent drawing
  • US11172820B2 patent drawing
  • US11172820B2 patent drawing

AI summary

A physiological information processing method includes: acquiring electrocardiogram data from a subject; acquiring pulse wave data from the subject; measuring a plurality of RR intervals based on the acquired electrocardiogram data; measuring a plurality of pulse wave transit times based on the acquired electrocardiogram data and the acquired pulse wave data; calculating, based on the measured RR intervals and the measured pulse wave transit times during a given time period, a parameter related to correlation between the measured RR intervals and the measured pulse wave transit times; and outputting the calculated parameter.