Compensatory Reserve Index for Bleeding Detection
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Solution Overview
Problem
Current methods fail to accurately and automatically detect subtle vital sign changes indicative of bleeding, especially in cases of impending hemodynamic decompensation or cardiovascular collapse, as humans are unable to recognize these changes effectively, leading to delayed recognition of significant blood loss during the critical 'golden hour' following injury.
Innovation Solution
A noninvasive system using sensors to capture physiological data, such as pulse oximetry and blood pressure waveforms, and a computer system that analyzes this data to estimate a patient's compensatory reserve index (CRI), allowing for real-time monitoring and prediction of bleeding before, during, and after fluid resuscitation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional manual monitoring methods are used, then device complexity is low, but measurement precision and detection speed are insufficient for subtle vital sign changes
Solution Approach 1:
The patent replaces manual visual inspection and mechanical monitoring with an automated optical system using pulse oximetry sensors and waveform analysis. The system uses photodetectors to capture subtle changes in blood oxygen saturation and pulse waveforms, then processes these signals through algorithms to detect bleeding indicators automatically, eliminating the need for human interpretation of subtle physiological changes.
Solution Approach 2:
The patent introduces a computer system as an intermediary between the physiological parameters and the observer. The computer analyzes pulse oximetry waveforms, heart rate variability, and oxygen saturation trends to generate objective bleeding risk assessments, serving as a mediator that translates complex physiological data into actionable clinical information.
2Speed
If automated sensor-based monitoring is implemented, then measurement precision and detection speed improve, but device complexity increases
Solution Approach 1:
The patent employs a multi-functional monitoring system that simultaneously tracks multiple physiological parameters (pulse oximetry, heart rate, oxygen saturation) using a single integrated platform. The same sensor array and processing system serve both routine monitoring and bleeding detection functions, reducing the need for separate specialized equipment while maintaining high detection speed.
Solution Approach 2:
The system performs continuous real-time analysis of physiological waveforms without interruption, constantly monitoring for bleeding indicators rather than relying on periodic measurements. This continuous data stream allows immediate detection of subtle changes in pulse waveform morphology and oxygen saturation trends, enabling rapid response to hemorrhagic events.
3Reliability
If comprehensive physiological monitoring is performed, then reliability of bleeding detection improves, but loss of time for data processing increases
Solution Approach 1:
The system pre-calculates and stores normal physiological ranges and bleeding indicator thresholds based on population data and clinical guidelines. When monitoring begins, these pre-established criteria are immediately applied to incoming data streams, eliminating the need for time-consuming analysis of normal vs. abnormal values during critical events.
Solution Approach 2:
The system implements real-time feedback loops where detected anomalies trigger immediate re-analysis of recent data streams and automatic adjustment of monitoring sensitivity. When subtle bleeding indicators are detected, the system intensifies analysis of related physiological parameters and provides rapid feedback to clinicians, balancing comprehensive monitoring with timely response.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables early and accurate detection of bleeding, facilitating timely fluid resuscitation and guiding effective hydration efforts, thereby improving patient outcomes by providing healthcare professionals with immediate indicators of blood loss and fluid needs.
Implementation Method 1
sensors to obtain physiological data from the patient
Implementation Method 2
sensors to obtain physiological data from the patient
Data Source
AI summary
Novel tools and techniques are provided for assessing, predicting and/or estimating a probability that a patient is bleeding, in some cases, noninvasively. In various embodiments, tools and techniques are provided for implementing rapid detection of bleeding of the patient or implementing assessment, prediction, or estimation of a probability of bleeding of the patient following injury, in some instances, in real-time before, during, and after fluid resuscitation. According to some embodiments, one or more sensors might monitor physiological data of the patient before, during, and after resuscitation following injury. A computer system might receive and analyze the physiological data, and might estimate a probability that the patient is bleeding, based at least in part on the analyzed physiological data. An indication of at least one of an assessment, prediction, or estimate of a probability that the patient is bleeding may then be displayed on a display device.