Ventilator Transmitting Module Event-Filtered Data Communication
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Solution Overview
Problem
Modern ventilators networking with data processing devices lead to significant data transfer loads on communication networks, resulting in high costs and potential overloading, especially in large-scale setups like clinics with numerous ventilators.
Innovation Solution
Implementing a transmitting module that evaluates sensor and user data to recognize relevant events, transmitting messages only when specific events occur, thereby reducing unnecessary data transfer and allowing for more efficient communication using cost-effective hardware and tariffs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous data transfer at fixed time intervals is implemented, then complete monitoring data is transmitted, but data communication network becomes overloaded and costs increase
Solution Approach 1:
The transmitting module preliminarily evaluates sensor data and user data to recognize events before transmission, filtering out non-critical data. This preliminary action prevents unnecessary data transfer while ensuring complete transmission of clinically relevant information, resolving the contradiction between data completeness and transfer volume.
Solution Approach 2:
The patent applies different transmission qualities to different data types: critical event data is transmitted immediately with high priority, while non-critical routine data is either compressed, aggregated, or transmitted at lower intervals. This local quality differentiation reduces overall data volume while maintaining reliability for important monitoring parameters.
2Productivity
If high-performance data communication hardware is used, then data transfer capacity is sufficient, but costs increase significantly
Solution Approach 1:
Instead of continuously transmitting all data at maximum capacity, the system transmits only the necessary portion of data (critical events) at high priority, while reducing or eliminating transmission of non-critical data. This partial action approach allows using lower-performance, more cost-effective communication hardware while maintaining sufficient data transfer capacity for clinically relevant information.
3Loss of information
If all sensor data and user data are transmitted continuously, then no information is lost, but network loading increases and costs rise
Solution Approach 1:
The transmitting module performs preliminary evaluation of data before transmission, using event recognition algorithms to identify which data points contain clinically significant information. This preliminary filtering ensures that only data contributing to meaningful medical information is transmitted, preventing network overload while maintaining information completeness for patient care decisions.
Solution Approach 2:
The system extracts and transmits only the essential critical information from the full dataset by recognizing specific events (e.g., apnea, breathing abnormalities, equipment faults). Non-essential routine data is excluded from transmission or aggregated, thereby preventing network overload while preserving all information necessary for patient monitoring and clinical decision-making.
Data Source
AI summary
A transmitting module comprises elements for performing the following: receiving input data comprising sensor data defining at least one parameter which is detected by at least one sensor and is relevant to ventilation of a patient by a ventilator and/or comprising user data encoding information regarding a patient who is ventilated or to be ventilated by a ventilator, said information being input via a user interface; evaluating the input data to recognize an event from among a plurality of possible events, each possible event being relevant to ventilation of the patient by the ventilator; transmitting a message regarding the recognized event to a receiving module via a data communication connection connecting the ventilator to a data processing device situated outside the ventilator for data communication.