Respiratory Monitoring via ECG Electrodes and Dynamic Algorithm Selection
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Solution Overview
Problem
Current methods for non-invasive respiratory monitoring face challenges such as reliability, accuracy, and repeatability issues, particularly in situations where signal quality is poor or physiological limitations exist, and there is no single method suitable for all conditions.
Innovation Solution
A method and apparatus that utilize a control unit to acquire physiological signals, obtain contextual information, and automatically select appropriate signal processing algorithms to determine respiratory information, combining multiple algorithms for improved performance across different clinical conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If impedance-pneumography is used to monitor respiration, then fewer disturbances to the subject are created, but the measurement reliability deteriorates due to baseline drift and electrode interference
Solution Approach 1:
The patent uses ECG electrodes as an intermediary to indirectly measure respiration through impedance changes, avoiding direct placement of respiration sensors on the subject while still capturing respiratory signals through the cardiac electrical activity medium
Solution Approach 2:
The system makes ECG electrodes multi-functional by using them both for cardiac monitoring and respiratory measurement, eliminating the need for separate respiration sensors and reducing subject disturbance while maintaining measurement capability
2Measurement precision
If multiple electrodes and four-conductor measurement technology are used, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent enables standard ECG electrodes to perform dual functions of cardiac and respiratory monitoring, eliminating the need for additional dedicated respiration electrodes and complex four-conductor measurement systems while maintaining adequate measurement precision
Solution Approach 2:
The system uses the subject's own ECG signal and existing ECG electrode infrastructure to provide respiratory measurement capabilities, making the system self-sufficient without requiring external specialized equipment
3Device complexity
If a single signal processing algorithm is used, then device complexity is reduced, but adaptability to different clinical conditions deteriorates
Solution Approach 1:
The patent implements dynamic algorithm selection where the signal processing approach automatically adapts based on the detected physiological state and signal quality, allowing the system to switch between different processing algorithms depending on clinical conditions
Solution Approach 2:
The system uses feedback from signal quality assessment and contextual information to automatically select the most appropriate signal processing algorithm, creating a closed-loop system that adapts to different clinical scenarios without manual intervention
4Reliability
If contextual information is obtained and multiple algorithms are selected, then measurement reliability is improved, but computational requirements increase
Solution Approach 1:
The patent applies partial processing by selecting and applying only the most suitable signal processing algorithm based on contextual information and signal quality, rather than running all possible algorithms, thus reducing computational load while maintaining reliability
Solution Approach 2:
The system changes processing parameters dynamically by selecting different algorithms based on the detected physiological state, allowing efficient computation by matching the processing complexity to the actual signal characteristics and clinical context
Data Source
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AI summary
There is provided a method and apparatus for determining respiratory information for a subject. One or more physiological signals indicative of at least one physiological characteristic of the subject is acquired (202) and contextual information relating to at least one of the subject and the one or more physiological signals is obtained (204). Based on the contextual information, at least one signal processing algorithm for each of the one or more physiological signals is selected (206), the at least one signal processing algorithm being adapted to determine respiratory information. Respiratory information for the subject is determined based on the one or more physiological signals using the at least one signal processing algorithm selected for the one or more physiological signals (208).