Elasticity Detection Device Cloud Data Analysis
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Solution Overview
Problem
Existing elasticity detection devices provide incomplete and inaccurate analysis results due to limited local data storage, preventing comprehensive health condition assessments and hindering collaborative disease research.
Innovation Solution
The method involves transmitting detection results to a cloud server for centralized storage and analysis, allowing for comprehensive data analysis based on historical and collective data, using an elasticity detection device with an excitation and capturing mechanism, communication condition determination, data transmission, and analysis requests to obtain accurate health condition assessments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If each elasticity detection device stores and analyzes detection data locally, then the device operation is simple and independent, but the analysis result is incomplete and inaccurate due to limited local data
Solution Approach 1:
The patent introduces a cloud server as an intermediary between multiple elasticity detection devices and users. The cloud server receives detection data from multiple devices, performs centralized storage and comprehensive analysis, then returns analysis results to users. This mediator approach enables accurate analysis using aggregated data from multiple devices without increasing the complexity of individual detection devices.
Solution Approach 2:
The patent transitions the data storage and analysis function from the local dimension (individual device) to the cloud dimension (centralized server). By moving data processing to another dimension (cloud infrastructure), the system achieves comprehensive analysis capabilities while keeping individual devices simple.
2Productivity
If multiple elasticity detection devices are deployed in a hospital, then more detection capacity is provided, but the analysis result remains incomplete because each device only accesses its own local data
Solution Approach 1:
The patent merges detection data from multiple elasticity detection devices into a unified cloud-based database. The cloud server aggregates data from all devices, enabling comprehensive analysis that incorporates information from the entire hospital's detection capacity rather than losing information by keeping data siloed in individual devices.
Solution Approach 2:
The cloud server provides a universal data access interface that serves multiple detection devices simultaneously. Any device can contribute data to and access the centralized database, making the system multi-functional and enabling complete analysis regardless of which specific device performed the detection.
3Reliability
If detection data is stored locally in each device, then data storage is simple and direct, but health condition determination is inaccurate due to inability to access comprehensive historical data
Solution Approach 1:
The cloud server acts as an intermediary that manages the complexity of aggregating and managing detection data from multiple devices. Individual devices simply store and transmit data locally without needing to manage complex data relationships, while the cloud intermediary handles the comprehensive data management needed for reliable health condition determination.
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
This approach enables comprehensive and accurate health condition assessments and supports research by leveraging cloud-stored data for individual and population health analysis, improving diagnostic reliability and research capabilities.
Implementation Method 1
an excitation device for generating an elastic shear wave in a viscoelastic medium of a subject
Implementation Method 2
a capturing device for obtaining a detection result generated by the viscoelastic medium under an action of the elastic shear wave
Data Source
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AI summary
The present invention provides a method for data analysis and processing of an elasticity detection device, and an elasticity detection device. The method includes: transmitting, by each elasticity detection device, displacement information to a cloud server if a communication connection between the elasticity detection device and the cloud server is determined to be normal so that the cloud server can store the displacement information in a database. The elasticity detection device transmits a data analysis request to the cloud server, and the cloud server obtains from the database data to be analyzed corresponding to an analysis keyword, analyzes the data to be analyzed to obtain an analysis result, and transmits the analysis result to the elasticity detection device. Thus, the elasticity detection device can obtain a comprehensive and accurate analysis result for different analysis requirements by means of massive displacement information storage and analysis capability of the cloud server.