Defibrillator Raw Data Transmission for Abnormality Prediction
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Solution Overview
Problem
Current defibrillator management systems cannot perform advanced data analysis, such as abnormality prediction, due to the lack of raw data transmission from automated external defibrillators (AEDs) to management servers, limiting their ability to effectively monitor and maintain AEDs.
Innovation Solution
A defibrillator configured with a processor and memory that transmits raw data related to its components and accessories to a management server, enabling the server to perform data analysis like abnormality prediction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If only abnormality detection information is transmitted from the AED to the management server, then the communication data volume is reduced and transmission efficiency is improved, but the management server cannot perform advanced data analysis such as abnormality prediction
Solution Approach 1:
The patent extracts only the necessary raw data elements from the AED that are essential for abnormality prediction, rather than transmitting all possible data. This selective extraction enables advanced analysis while controlling data volume.
Solution Approach 2:
The system performs preliminary processing of data at the AED end, preparing raw data in advance for transmission. This allows the management server to receive pre-processed data that is ready for immediate analysis, improving overall system productivity.
2Reliability
If raw data from all components is transmitted to the management server, then comprehensive data analysis and abnormality prediction become possible, but the communication burden and data processing load increase
Solution Approach 1:
The patent applies different data transmission strategies to different components of the AED. Critical components generate and transmit detailed raw data for high-reliability monitoring, while less critical components use simplified monitoring approaches, optimizing the balance between reliability and complexity.
Solution Approach 2:
The system transmits a partial set of raw data that is sufficient for effective abnormality prediction without transmitting all possible data. This partial action approach achieves the necessary reliability while avoiding excessive system complexity.
3Loss of time
If the management server performs advanced data analysis on transmitted data, then predictive maintenance capability is improved, but the server's computational requirements and operational complexity increase
Solution Approach 1:
The AED performs preliminary data processing and preparation before transmission, organizing raw data into formats optimized for analysis. This reduces the computational burden on the management server while enabling advanced predictive maintenance capabilities.
Solution Approach 2:
The patent introduces an intermediate data processing layer that bridges the AED and management server. This intermediary layer performs initial data filtering and formatting, reducing the complexity of operations required at the management server while maintaining fast maintenance response capability.
Data Source
AI summary
A defibrillator configured to execute a defibrillation process of delivering an electric shock for defibrillation to a heart of a subject. The defibrillator includes: a processor, and a memory that stores a computer-readable instruction that when executed by the processor, causes the defibrillator to perform operations including: receiving a raw data related to at least one of a plurality of components configuring the defibrillator and an accessory of the defibrillator; and transmitting the received raw data and an identification information of the defibrillator to a management server. The raw data is used to determine presence or absence of an abnormality in at least one of the plurality of components and the accessory.