Chest Compliance Feedback for Neutral-Position CPR Compressions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing chest compression devices struggle to provide accurate real-time feedback on the varying chest compliance and neutral position during active compression-decompression (ACD) CPR, leading to ineffective treatment and potential injury due to inconsistent force application and misinterpretation of chest motion phases.
Innovation Solution
A system with sensors and processors calculates chest compliance and determines the neutral position to provide real-time feedback on CPR effectiveness, adjusting force application to optimize treatment and minimize injury risk.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional chest compression methods are used with fixed force application, then the procedure is simple to perform, but it cannot adapt to varying chest compliance and causes inconsistent treatment effectiveness
Solution Approach 1:
The system dynamically adjusts compression force and provides real-time feedback based on measured chest compliance. The processor continuously monitors sensor data and modifies compression parameters to match the patient's actual chest characteristics, transforming a static compression system into an adaptive one that responds to varying tissue properties in real-time
Solution Approach 2:
The system incorporates sensors to measure chest compression parameters and provides real-time feedback to the rescuer. This feedback loop allows the rescuer to adjust their compression force based on actual measurements of chest compliance, ensuring optimal force application while adapting to individual patient variations without requiring complex automated control systems
2Productivity
If chest compression force is increased to improve blood flow, then circulation effectiveness increases, but the risk of injury to the patient increases
Solution Approach 1:
The system uses sensors to measure actual chest compression effects and provides real-time feedback on force application. This allows the rescuer to apply sufficient force to generate adequate blood flow while stopping before causing injury, as the feedback indicates when optimal compression depth and force have been achieved, preventing excessive force that could harm the patient
Solution Approach 2:
The system changes compression parameters (force, depth, rate) based on measured chest compliance values. By adjusting these parameters to match the patient's actual chest characteristics, the system ensures that enough force is applied to maintain blood flow while avoiding excessive force that could cause injury, optimizing the balance between effectiveness and safety
3Reliability
If real-time feedback on chest compliance is provided, then CPR effectiveness is improved, but measurement precision requirements increase
Solution Approach 1:
The system replaces complex mechanical measurement methods with sensor-based detection. Instead of relying on precise mechanical measurement of chest motion, the system uses sensors (such as accelerometers or force sensors) to detect compression parameters, providing real-time feedback on chest compliance while reducing the precision requirements for mechanical measurement systems
Data Source
AI summary
Among other things, in one aspect, we describe a system for assisting with cardiopulmonary resuscitation (CPR). The system includes at least one sensor; and one or more processors configured for calculating a chest compliance relationship based on data received from the at least one sensor, and determining a neutral position of chest compression based at least in part on a feature of the chest compliance relationship. The system can take the form of an active compression-decompression device.