Physiological Data Validity via Environmental Sensor Correlation
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Solution Overview
Problem
Physiological data collection can be influenced by environmental conditions such as temperature, leading to invalidation of recorded data, particularly in emergency situations where clinicians may not recognize the impact of environmental factors on the accuracy of patient measurements.
Innovation Solution
A system comprising a patient sensor and an environmental sensor, coupled with a control/monitoring system, which acquires and analyzes both patient and environmental data to determine the validity of the physiological data and flags or modifies it accordingly, using experimental correlations to compensate for environmental influences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If environmental sensors are added to monitor conditions affecting physiological data, then data validity can be determined, but device complexity increases
Solution Approach 1:
The system divides the monitoring function into separate modular components: patient sensors for physiological data, environmental sensors for condition monitoring, and a control/monitoring system for integration and analysis. This segmentation allows each component to be optimized independently while maintaining overall system reliability without excessive complexity.
Solution Approach 2:
The control/monitoring system serves multiple functions: it processes physiological data from patient sensors, integrates environmental data from environmental sensors, determines data validity, and provides compensation. This multi-functionality reduces the need for separate dedicated systems, thereby managing complexity while improving reliability.
2Measurement precision
If environmental factors are monitored and compensation is applied, then measurement precision improves, but device complexity increases
Solution Approach 1:
The system pre-establishes correlation models between environmental factors and physiological measurements through experimental data. These correlations are stored and ready for application, allowing real-time compensation without complex calculations during actual monitoring, thus improving precision while managing processing complexity.
Solution Approach 2:
The control/monitoring system adjusts physiological data parameters based on environmental parameter changes. By using pre-determined correlation factors, the system can compensate for environmental influences through simple parameter adjustments rather than complex real-time modeling, improving measurement precision without excessive processing complexity.
Data Source
AI summary
Systems and methods for determining validity of physiological data according to an embodiment of the present invention include a patient sensor configured to acquire patient data from a patient, wherein the patient data is physiological; and an environmental sensor configured to acquire environmental data related to validity of the patient data, wherein a value of the environmental data has a clinical effect on the validity of the patient data but not on performance of the environmental sensor; a control/monitoring system, wherein the control/monitoring system is configured to determine whether the environmental data satisfies one or more conditions indicative of the validity of the patient data and to flag the patient data that is invalid based on the determination.