Informative Display Visualization for Low-Flow and Apnea Detection
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Solution Overview
Problem
Existing non-contact patient monitoring systems require significant clinician effort to interpret respiratory data for health assessment, lacking intuitive visualization of low flow and apnea events.
Innovation Solution
A non-contact patient monitoring system using depth sensing cameras provides adaptive visualizations of respiratory data, including line plots and flags for low flow and apnea events, with dynamic plot line designs and auditory warnings to facilitate quick interpretation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If basic respiratory data is displayed using simple line plots, then the display is easy to understand, but significant clinician effort is still required to interpret the data for health assessment
Solution Approach 1:
The system introduces visual indicators (flags, icons, color changes) as intermediary elements between the raw respiratory data and the clinician's interpretation. These indicators automatically highlight abnormal events such as apnea, hypopnea, and respiratory distress, serving as a mediator that translates complex data patterns into immediately recognizable visual signals, thereby reducing the time and effort required for clinical assessment
2Loss of information
If multiple visualizations of respiratory events are provided, then clinician understanding of patient health is enhanced, but the display complexity increases
Solution Approach 1:
The display is segmented into multiple functional layers: the base line plot showing respiratory volume over time, overlaid with specific visual indicators for different event types (apnea flags, hypopnea markers, respiratory distress icons), and supplementary panels for event statistics and trends. This segmentation allows each element to serve a specific informational purpose without creating overall confusion, as each visual element is distinctly styled and positioned to convey its specific meaning
3Adaptability or versatility
If adaptive visualizations are implemented that adjust based on patient breathing measurements, then the display becomes more informative, but the system complexity increases
Solution Approach 1:
The visualization system dynamically adjusts its parameters based on real-time analysis of respiratory patterns. The system monitors breathing characteristics and automatically modifies the display characteristics - such as changing the sensitivity thresholds for event detection, adjusting the timing of visual indicators, and modifying the scale of graphical representations - to optimize information delivery for each patient's unique breathing profile, thereby enhancing adaptability without requiring manual reconfiguration
Data Source
AI summary
Described herein are various embodiments of an informative display that may be used in conjunction with non-contact patient monitoring systems and methods. The informative display may include one or more patient data images providing historical and real time data relating the patient being monitored by the non-contact patient monitoring system. The patient data images may be configured to display visualizations of various patient events, such as low flow, apnea, and/or patient movement.