Breath Analyzer Signal Segmentation for Ventilator Monitoring
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Solution Overview
Problem
Current ventilators lack efficient methods for quickly and cost-effectively detecting breathing disturbances during ventilation, which hinders real-time monitoring and adaptation to individual respiratory patterns.
Innovation Solution
A breath analyzer with an electronic computing and storage unit that processes ventilation pressure and flow signals to identify signal segments, assigns them to breath classes, and stores frequency data, allowing for rapid assessment of breathing events with reduced storage and transmission time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a sensor continuously monitors respiratory parameters throughout the entire analysis period, then the detection of breathing events is comprehensive and reliable, but the time and storage resources required for evaluation increase significantly
Solution Approach 1:
The patent divides the continuous respiratory signal into discrete segments and evaluates only specific segments that contain potential breathing events. This segmentation approach maintains detection reliability by focusing on relevant portions of the signal while significantly reducing the total evaluation time and computational resources required.
Solution Approach 2:
The patent extracts and stores only the most relevant signal segments that contain breathing events, rather than storing and evaluating the entire continuous signal. This extraction principle reduces storage requirements and evaluation time while preserving all critical information needed for reliable detection.
2Loss of information
If all detected signal segments are stored for later evaluation, then complete breathing event data is preserved, but storage requirements and data transmission time increase
Solution Approach 1:
The patent extracts only the essential signal segments containing breathing events for storage, discarding redundant portions of the continuous signal. This ensures complete preservation of breathing event information while minimizing storage requirements and data transmission needs.
Solution Approach 2:
The patent applies different storage quality levels to different signal segments: critical breathing event segments are stored in full detail, while non-critical segments are either stored with reduced detail or not stored at all. This local quality approach preserves necessary information while reducing overall storage requirements.
3Measurement precision
If the analysis system processes the entire signal curve with high resolution, then detection precision is maximized, but processing time and computational complexity increase
Solution Approach 1:
The patent segments the signal processing task, applying high-resolution analysis only to specific segments containing potential breathing events rather than processing the entire signal curve at full resolution. This maintains detection precision for critical events while significantly improving analysis speed through selective processing.
Solution Approach 2:
The patent applies full processing power and high-resolution analysis only when and where needed (i.e., during segments containing breathing events), rather than continuously applying maximum processing to the entire signal. This partial action approach maintains precision for critical detections while improving overall productivity.
Data Source
AI summary
A breath analyzer for detecting breathing events of a person ventilated with a respiratory gas, comprising an electronic computing and storage unit configured to receive a signal corresponding to a ventilation pressure and/or a respiratory flow and/or a tidal volume of the respiratory gas delivered to the person and, during a predetermined analysis duration, to detect a curve of the signal by a curve analyzer. A ventilator for ventilating a person with a respiratory gas, which ventilator comprises the breath analyzer and a method for detecting breathing events of a person ventilated with a respiratory gas is also described.


