Oximeter Probe Off Detection Using Multi-Channel Ratio Data
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Solution Overview
Problem
Many oximeter systems fail to accurately detect probe off conditions, where the optical sensor is partially or completely dislodged from the patient, leading to potential misinterpretation of physiological measurements and missed events.
Innovation Solution
The system defines probe off and probe on spaces using ratio data channels from intensity signals, which are compared against stored data from clinical trials to determine if a probe off condition exists, triggering audible and visual indicators for proper sensor reapplication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional oximeter detection methods are used, then the system can detect probe off conditions, but the detection accuracy is insufficient leading to false measurements
Solution Approach 1:
The patent transitions from traditional single-channel intensity signal analysis to multi-channel ratio data analysis. By comparing intensity signals across multiple wavelength channels and computing ratios between them, the system creates an additional dimensional space for differentiation. This multi-dimensional approach enables the system to distinguish between true probe off conditions and low perfusion states more accurately, resolving the contradiction between detection accuracy and measurement reliability.
Solution Approach 2:
The patent changes the detection parameter from raw intensity signals to ratio data derived from multiple intensity channels. By computing ratios between different wavelength channels and analyzing their characteristics, the system transforms the detection parameters into a form that better discriminates between probe off conditions and low perfusion states. This parameter transformation improves detection accuracy while maintaining measurement reliability.
2Measurement precision
If the oximeter uses traditional intensity signal analysis, then the system can operate with simple processing, but it cannot accurately distinguish probe off conditions from low perfusion states
Solution Approach 1:
The patent introduces ratio data channels that compute ratios between multiple intensity signal channels. This creates an additional analytical dimension that enhances the system's ability to discriminate between probe off conditions and low perfusion states. The ratio-based approach provides more discriminatory power while keeping the processing architecture relatively straightforward, thus improving measurement precision without excessively increasing device complexity.
3Reliability
If the oximeter defines a narrow operating region, then it can reduce false probe off detections, but it may miss legitimate probe off conditions
Solution Approach 1:
The patent segments the signal analysis into multiple independent ratio data channels, each comparing different wavelength pairs. By analyzing multiple segmented channels simultaneously and evaluating their collective characteristics, the system can establish more robust criteria for detecting probe off conditions. This segmentation approach reduces false detections while maintaining high detection precision, as each channel provides independent evidence that must collectively indicate a probe off state.
Data Source
AI summary
An embodiment of the present disclosure seeks to select characteristics of incoming intensity data that cause comparisons of selected characteristics to produce defined probe off space having reduced crossover with defined probe on space. Once defined, the present disclosure compares characteristics of incoming intensity data with the now defined probe off space, and in some embodiments, defined probe on space, to determine whether a probe off condition exists. When a processor determines a probe off condition exists, the processor may output or trigger an output signal that audibly and/or visually indicates to a user that the optical sensor should be adjusted for a proper application to a measurement site.