Marked Respiration Waveform for Accurate Characterization
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Solution Overview
Problem
Current methods lack an effective approach for accurately characterizing patient respiration, particularly in diagnosing and monitoring respiratory-related diseases and disorders, due to complex interactions between cardiovascular and pulmonary systems, leading to delayed detection and inadequate therapy.
Innovation Solution
A system and method for generating a marked respiration waveform by acquiring and processing respiration data, using sensors and processors to detect characteristics such as rate, tidal volume, and abnormalities, with symbols indicating these features, potentially implanted or using both internal and external devices for data acquisition and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional respiration monitoring methods are used, then the system is simple, but the measurement precision and ability to detect respiratory disorders is insufficient
Solution Approach 1:
The respiration waveform is segmented into discrete characteristics (rate, tidal volume, inspiratory time, expiratory time, pause time) that can be independently detected and analyzed. This segmentation allows precise measurement of individual respiratory parameters while maintaining a manageable system structure through modular detection of each parameter.
Solution Approach 2:
The patent transforms the continuous respiration waveform into a marked waveform with discrete symbolic annotations representing specific respiratory characteristics. This dimensional transformation from continuous signal to annotated discrete events enables more precise detection and characterization of respiratory patterns and abnormalities.
2Reliability
If comprehensive respiration characteristics are detected, then the diagnosis accuracy improves, but the device complexity increases
Solution Approach 1:
The system performs preliminary detection and marking of key respiratory characteristics (rate, tidal volume, timing parameters) directly at the point of measurement. By pre-processing and annotating the waveform with critical information before full analysis, the system ensures reliable diagnosis data is captured while simplifying subsequent processing steps.
Solution Approach 2:
The marked respiration waveform serves as an intermediary representation that encapsulates complex respiratory characteristics in a simplified symbolic format. This intermediate marked waveform allows comprehensive diagnosis information to be preserved while reducing the complexity of data processing and interpretation.
3Measurement precision
If implantable devices are used for continuous monitoring, then the detection capability improves, but the device complexity and surgical requirements increase
Solution Approach 1:
The implantable device is designed to perform multiple functions: detecting respiration characteristics, generating marked waveforms, and potentially providing therapy. By consolidating these functions into a single implantable system, the patent achieves continuous precise monitoring while avoiding the need for multiple separate devices and procedures.
Data Source
AI summary
Patient respiration may be characterized using a marked respiration waveform involving a respiration waveform annotated with symbols, markers or other indicators representing one or more respiration characteristics. A respiration waveform may be acquired by sensing a physiological parameter modulated by respiration. A marked respiration waveform may be generated based on the acquired respiration waveform and one or more detected respiration waveform characteristics and/or respiration-related conditions. One or more components used to generate the marked respiratory waveform may be fully or partially implantable.