Sensor Array Signal Selection for Physiological Monitoring
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Solution Overview
Problem
Current signal processing systems for detecting physiological characteristics, such as oxygen saturation and blood pressure, often require multiple sensors and complex calculations, which can be inefficient and may not always provide the most accurate measurements due to varying signal quality and noise.
Innovation Solution
A sensor array system that includes multiple sensor elements capable of detecting different physiological characteristics, which communicates with a monitoring device to select the best combination of sensors and measurement types based on predefined metrics and models, optimizing signal quality and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors and complex calculations are used for detecting physiological characteristics, then measurement accuracy may be improved, but system complexity and processing time increase
Solution Approach 1:
The system divides the sensor array into multiple individual sensor elements, each capable of detecting specific physiological characteristics. This segmentation allows the system to process signals from multiple sensors independently and selectively, reducing the complexity of analyzing all sensor data simultaneously while maintaining comprehensive measurement capability.
Solution Approach 2:
The system evaluates all possible combinations of sensor elements but selectively uses only the optimal combinations for measurement. By testing multiple combinations and selecting the best ones based on predefined metrics, the system achieves high measurement accuracy without requiring all sensors to be actively processed at once, thereby reducing computational complexity.
2Measurement precision
If multiple sensor combinations are evaluated to find the best measurement, then measurement accuracy improves, but processing time increases
Solution Approach 1:
The system pre-establishes a comprehensive list of all possible sensor element combinations and their corresponding measurement types before actual measurement occurs. This preliminary preparation allows the system to quickly evaluate and select the optimal combination during measurement without performing exhaustive calculations in real-time, significantly reducing processing time while maintaining accuracy.
Solution Approach 2:
The system continuously monitors signal quality metrics from sensor combinations and uses this feedback to dynamically select the optimal measurement type and sensor combination. By comparing actual signal characteristics against predefined metrics and thresholds, the system can quickly identify the best combination and switch between measurements without re-evaluating all possibilities, reducing processing time.
3Adaptability or versatility
If sensor arrays with multiple elements are used, then detection capability improves, but noise and signal interference increase
Solution Approach 1:
Each sensor element in the array is optimized for detecting specific physiological characteristics at its local position. The system evaluates and selects sensor combinations based on their specific local signal quality and characteristics, allowing the system to leverage the strengths of individual sensors while minimizing the noise and interference that may affect the entire array uniformly.
Data Source
AI summary
Systems and methods for determining physiological parameters of a subject using a sensor array. In an embodiment, a sensor array may contain sensor elements for determining multiple physiological parameters. A combination of sensor elements and the physiological parameters determined may be selected based on signals obtained from the sensor elements of the sensor array. A sensor array may be connected to a monitoring device that may select an optimal sensor element or combination of sensor elements and one or more physiological parameters to be determined. The monitoring device may then determine physiological parameters using the selected combination of sensor elements and display information associated with the parameters on a monitor for use, for example, in monitoring a medical patient.