Physiological Feedback System for Cardiac Arrest Monitoring
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Solution Overview
Problem
Current cardiac arrest treatment protocols rely heavily on achieving Return of Spontaneous Circulation (ROSC) without considering other factors that may indicate a positive clinical outcome for patients.
Innovation Solution
The development of physiological feedback systems and methods that utilize tissue oximetry and capnography data to monitor and adjust cardiopulmonary resuscitation (CPR) parameters, predict ROSC, and assess hemodynamic stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current treatment protocol requires achieving ROSC prior to patient transport, then patient stability is improved, but other potential factors indicating positive clinical outcome are overlooked
Solution Approach 1:
The patent segments the assessment of patient status into multiple independent physiological parameters (tissue oxygenation, hemoglobin levels, cardiac output, lactate clearance) rather than relying on a single ROSC metric. This allows comprehensive evaluation of clinical outcome while maintaining patient stability requirements.
Solution Approach 2:
The monitoring system performs multiple functions simultaneously: it tracks ROSC achievement, evaluates tissue oxygenation status, assesses hemodynamic stability, and identifies confounding factors. This multi-functional approach prevents loss of information about various clinical outcome indicators.
2Loss of information
If tissue oximetry and capnography monitoring are implemented, then comprehensive physiological feedback is improved, but device complexity increases
Solution Approach 1:
The patent combines tissue oximetry monitoring and capnography monitoring into a single integrated system that processes multiple physiological parameters simultaneously. This merging reduces the overall complexity compared to using separate monitoring systems while providing comprehensive physiological feedback.
Solution Approach 2:
The system uses processed physiological indices as intermediaries that synthesize complex raw data from multiple sensors into meaningful clinical metrics. This intermediary layer simplifies the interpretation of comprehensive physiological feedback without losing critical information.
3Measurement precision
If multiple physiological parameters are monitored continuously, then clinical outcome assessment is improved, but measurement complexity increases
Solution Approach 1:
The system monitors multiple physiological parameters continuously, using more measurement data than traditionally required. This excessive monitoring of parameters like tissue oxygenation, hemoglobin, cardiac output, and lactate provides superior clinical outcome assessment precision while the system manages the complexity through integrated processing.
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
These systems enable continuous monitoring of patient physiological state, improve clinical outcomes by providing comprehensive feedback for CPR adjustments, and help identify confounders that may obscure actual patient trends.
Implementation Method 1
obtain a tissue oximetry value from the tissue oximetry sensor data, the tissue oximetry value being indicative of a tissue oxygenation level of the patient
Implementation Method 2
obtain a level of confounders associated with the one or more physiological parameters of the patient, the level of confounders being indicative of a likelihood that the change in the physiological parameter is not associated with a change in the physiological state of the patient
Data Source
AI summary
The disclosed physiological feedback systems and methods assist with assessing, monitoring and/or treating a patient experiencing a cardiac arrest event. The systems and methods receive multiple inputs and are continuous and/or iterative during a treatment session to provide physiological state trends of the patient. An index of the physiological state of the patient can be derived and confounders, and/or their effects, can be identified, and/or removed, from the index. Additionally, the systems and methods can assist with determining ischemic injury in a patient based on cerebral tissue oxygenation and/or other physiological data.