Cloud-Based Physiological Monitoring for Multi-Parameter Medical Indices
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Solution Overview
Problem
Existing physiological monitoring systems face challenges in efficiently processing and analyzing multiple physiological parameters due to limited computational capabilities of local devices, requiring frequent invasive measurements, and lack of integration with cloud-based processing for comprehensive medical index derivation.
Innovation Solution
A cloud-based physiological monitoring system that integrates local sensors with a cloud server for data processing, enabling derivation of medical indices from multiple data streams, allowing for reduced invasive measurements and enhanced computational power for parameter analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If cloud-based processing is implemented, then computational power for parameter analysis is enhanced, but device complexity increases
Solution Approach 1:
The patent introduces a cloud server as an intermediary between the physiological monitor and the processing algorithms. The monitor collects physiological data locally but offloads complex computational tasks to the cloud server, which performs signal processing, parameter derivation, and medical index calculation. This mediator approach enables enhanced computational power without requiring the local device to have high processing capabilities, thus resolving the contradiction between computational power and device complexity.
2Adaptability or versatility
If multiple physiological parameters are monitored simultaneously, then comprehensive health assessment is improved, but data processing complexity increases
Solution Approach 1:
The patent segments the data processing task into distinct modules: the local monitor handles data acquisition and basic preprocessing, while the cloud server handles advanced signal processing, parameter derivation, and medical index calculation. This segmentation allows the system to monitor multiple physiological parameters simultaneously without overwhelming the local device, as the complex processing is distributed to the cloud infrastructure.
Solution Approach 2:
The cloud server is designed to handle multiple types of physiological data and perform various processing functions including signal filtering, parameter extraction, trend analysis, and medical index derivation. This universal processing platform can accommodate different sensor types and measurement modalities, enabling comprehensive health assessment while maintaining manageable processing complexity through standardized cloud-based workflows.
3Ease of operation
If invasive measurements are reduced, then patient comfort is improved, but measurement precision may deteriorate
Solution Approach 1:
The system implements feedback mechanisms where the cloud server continuously analyzes physiological parameter trends and provides insights that guide monitoring strategy. By processing multiple noninvasive measurements over time and identifying patterns, the system can maintain measurement precision while reducing the frequency of invasive procedures. The feedback loop allows the system to compensate for individual measurement variability through aggregated data analysis.
Solution Approach 2:
The cloud-based processing performs preliminary analysis of physiological data to identify trends and anomalies before clinical decision-making is required. By pre-processing and interpreting multiple noninvasive measurements, the system prepares comprehensive health assessments in advance, enabling accurate parameter derivation without requiring frequent invasive verification measurements.
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
Enables accurate and efficient derivation of medical indices from multiple physiological parameters, reducing the need for frequent invasive measurements and providing comprehensive health assessments across various conditions.
Implementation Method 1
physiological monitors that process signals based upon the attenuation of light by a tissue site... one or more optical sensors that irradiate a tissue site and one or more photodetectors that detect the optical radiation after attenuation by the tissue site
Data Source
AI summary
A cloud-based physiological monitoring system has a sensor in communications with a living being so as to generate a data stream generally responsive to a physiological condition of the living being. A monitor receives the data stream from the sensor and transmits the data stream to a cloud server. The cloud server processes the data stream so as to derive physiological parameters having values responsive to the physiological condition. The cloud server derives a medical index based upon a combination of the physiological parameters. The cloud server communicates the medical index to the monitor, which displays the medical index.