Noninvasive Bleeding Detection via Compensatory Reserve Index
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Solution Overview
Problem
Current methods are inadequate for early detection of subtle vital sign changes indicative of bleeding, particularly in cases of impending hemodynamic decompensation or cardiovascular collapse, as humans struggle to recognize beat-to-beat changes and compensate for significant blood loss without noticeable changes in traditional vital signs during fluid resuscitation.
Innovation Solution
A noninvasive system using sensors and a computer system to estimate a patient's compensatory reserve index (CRI) through waveform data analysis, allowing for real-time monitoring and prediction of bleeding before, during, and after fluid resuscitation procedures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional vital sign monitoring is used, then the monitoring method is simple and noninvasive, but it fails to detect subtle beat-to-beat changes indicative of bleeding
Solution Approach 1:
The system transitions from static vital sign monitoring to dynamic beat-to-beat analysis by continuously tracking waveform morphology changes across successive cardiac cycles, enabling detection of subtle physiological deteriorations that static measurements would miss
Solution Approach 2:
The invention adds temporal dimension to traditional monitoring by analyzing beat-to-beat waveform variations over time, transforming single-point measurements into continuous dynamic profiles that reveal early signs of hemorrhagic shock before traditional vital signs deteriorate
2Reliability
If fluid resuscitation is administered to treat bleeding, then blood volume is restored, but it may mask the signs of ongoing bleeding and delay detection
Solution Approach 1:
The system performs preliminary detection of bleeding by analyzing beat-to-beat waveform changes before traditional vital signs deteriorate, enabling early intervention and continuous monitoring during fluid resuscitation to detect ongoing blood loss that might otherwise be masked
3Measurement precision
If automated real-time monitoring is implemented, then detection accuracy improves, but the system complexity and cost increase
Solution Approach 1:
The system employs automated algorithmic analysis of waveform data that self-adjusts to individual patient characteristics, eliminating the need for manual calibration or expert interpretation while maintaining high detection accuracy through continuous adaptive learning from the patient's own baseline physiology
Data Source
AI summary
Novel tools and techniques are provided for assessing, predicting and/or estimating a probability that a patent is bleeding, in some cases, noninvasively. In various embodiments, tools and techniques are provided for implementing rapid detection of bleeding before, during, and after fluid resuscitation, in some instances, in real-time.