Ventilation Device Dynamic Data Processing for LPWAN Transmission
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Solution Overview
Problem
Current ventilator data transmission methods, such as using GSM modems, are costly, energy-intensive, and raise concerns about electromagnetic radiation, while they also result in incomplete data assessment between visits, leading to inefficient and unreliable data communication.
Innovation Solution
A data processing device that dynamically processes therapy data based on network quality parameters, allowing for reliable and cost-effective transmission over low-energy, high-range networks like LPWAN, by prioritizing data, adjusting redundancy, and using alternative network connections when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If therapy data is transmitted using a GSM modem, then data can be transmitted to a network, but transmission costs are high and energy consumption is high
Solution Approach 1:
The patent changes the transmission parameter from GSM to LPWAN (Low Power Wide Area Network), which operates with significantly lower power consumption while maintaining reliable data transmission capabilities. This parameter change directly addresses the contradiction by selecting a different transmission technology that inherently consumes less energy.
Solution Approach 2:
The patent employs a simplified transmission approach using LPWAN that accepts lower transmission reliability in exchange for dramatically reduced energy consumption and cost. The system uses redundancy and error correction to compensate for the inherently less reliable nature of low-power networks.
2Reliability
If therapy data is transmitted using a GSM modem, then data can be transmitted to a network, but network provider fees are incurred
Solution Approach 1:
The patent changes the network parameter from GSM (which incurs provider fees) to LPWAN (which typically operates on unlicensed spectrum without per-message fees). This parameter change eliminates or dramatically reduces the quantity-related cost component while maintaining transmission reliability through protocol-level error correction.
3Use of energy by moving object
If therapy data is transmitted over networks with limited availability, then energy consumption is reduced, but data transmission reliability deteriorates
Solution Approach 1:
The patent applies error correction codes and redundancy mechanisms before transmission to cushion against potential transmission failures. This allows the system to use low-power networks while maintaining data integrity, as the error correction acts as a buffer against the unreliability of limited-availability networks.
Solution Approach 2:
The patent implements acknowledgment and retransmission protocols where the receiving end sends feedback about successful reception. If data is lost during transmission on a limited-availability network, the feedback mechanism triggers retransmission, ensuring reliability while keeping energy consumption low by only transmitting when necessary.
4Loss of information
If all therapy data is transmitted regularly, then complete data assessment is achieved, but energy consumption and transmission costs increase
Solution Approach 1:
The patent extracts and transmits only the most critical therapy data parameters regularly, while less critical data is transmitted less frequently or only when changes occur. This selective extraction approach maintains data assessment completeness for essential parameters while dramatically reducing energy consumption and transmission costs.
Solution Approach 2:
The patent applies partial action by transmitting a subset of therapy data rather than all data continuously. Critical safety-related parameters are transmitted frequently, while other parameters are transmitted less frequently, achieving sufficient data assessment with reduced energy expenditure.
Data Source
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AI summary
The present invention relates to a method for operating a data processing unit (2) of a ventilator (1) and to a ventilator (1). Therapy data is recorded and stored in a storage unit (4). At least a portion of the therapy data is transmitted to a network (16) by a transmission unit (5). The transmission unit (5) identifies at least one available wireless network (6) and determines at least one characteristic parameter (7) for the network quality of the network (6). The data processing unit (2) dynamically processes at least one of the therapy data before its transmission to the wireless network (6), depending on the characteristic parameter.