Regional Oximetry Interface for Differential Oxygen Trend Monitoring
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Solution Overview
Problem
Existing patient monitoring systems lack efficient user interaction and integration with medical data communication hubs, leading to inefficiencies in data management and display of regional oximetry data, which is crucial for early detection of clinical conditions.
Innovation Solution
A medical monitoring hub with a large display and intuitive touchscreen interface that integrates with various medical devices, allowing for seamless data communication, display of regional and arterial oxygen saturation trends, and differential analysis, and supports multiple sensor connections for continuous tissue oxygenation monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple physiological signals are monitored simultaneously, then the comprehensiveness of patient data is improved, but the complexity of data management increases
Solution Approach 1:
The user interface is segmented into multiple independent views (trend view, waveform view, numerical view) that can display different physiological signals simultaneously. Each view handles specific data types independently, allowing comprehensive monitoring of regional oximetry, arterial oxygen saturation, and other parameters without overwhelming the system with centralized data management complexity.
Solution Approach 2:
Data is organized across multiple dimensional layers including temporal trends, real-time waveforms, and instantaneous numerical values. This multi-dimensional presentation allows clinicians to access comprehensive patient information through different viewing angles without increasing operational complexity, as each dimension handles specific aspects of data representation.
2Loss of information
If multiple views are displayed simultaneously, then the information accessibility is improved, but the display complexity increases
Solution Approach 1:
The display is divided into separate, functional views (trend graphs, waveform displays, numerical readouts) that can be independently configured and accessed. Each view presents specific types of information in an optimized format, improving data accessibility while maintaining interface simplicity through modular design.
Solution Approach 2:
The user interface is designed as a multi-functional system that can simultaneously perform trend analysis, waveform visualization, and numerical monitoring across different physiological parameters. This universal interface handles diverse data types through consistent interaction patterns, reducing the perceived complexity despite the comprehensive functionality.
3Reliability
If regional oximetry and arterial oxygen saturation are monitored together, then the clinical detection capability is improved, but the sensor integration complexity increases
Solution Approach 1:
The system merges regional oximetry sensors and arterial oxygen saturation sensors into a single integrated monitoring platform. Both sensor types connect to the same processor and share common display resources, improving clinical detection capability while reducing overall system complexity through consolidation rather than separate independent systems.
Solution Approach 2:
A central processor acts as an intermediary between multiple sensor types and the user interface. This mediator handles the complex tasks of receiving, processing, and coordinating data from regional oximetry and arterial oxygen saturation sensors, shielding clinicians from the underlying integration complexity while providing unified access to all physiological parameters.
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
Enhances user interaction and data management, providing comprehensive and synchronized display of patient data, reducing caregiver workload and improving early detection of clinical conditions through integrated regional oximetry monitoring.
Implementation Method 1
Regional oximetry exploits the ability of light to penetrate tissue and determine hemoglobin oxygenation according to the amount of light absorbed by hemoglobin
Implementation Method 2
The measurement is taken by placing one or more sensors on a patient, frequently on the patient's left and right forehead
Data Source
AI summary
A regional oximetry system has a display and at least one processor causing a plurality of views to be displayed on the display, each configured to occupy at least a portion of the display. The views are adapted to present data responsive to at least one physiological signal. A first sensor port is configured to receive at least a first physiological signal representative of a regional tissue oxygenation level, and a second sensor port is configured to receive at least a second physiological signal representative of an arterial oxygen saturation level. One view presents a first trend graph of the first physiological signal and a second trend graph of the second physiological signal. An area between the first trend graph and the second trend graph can include a differential analysis of regional-to-central oxygen saturation.