CPR System Rate-Based Patient Tranquility Mode
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Solution Overview
Problem
Manual cardiopulmonary resuscitation (CPR) can be ineffective due to rescuer fatigue and lack of training, leading to suboptimal chest compressions that may not maintain adequate blood circulation, and existing mechanical CPR devices do not address the discomfort experienced by patients who regain consciousness during treatment.
Innovation Solution
A CPR system with a retention structure and a processor-controlled compression mechanism that can intentionally underperform in frequency or depth of compressions to reduce patient discomfort by making the patient faint again, using multiple compression mechanisms and auxiliary compressions to coordinate blood flow effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If chest compression frequency is increased to improve blood circulation, then blood circulation effectiveness is improved, but patient discomfort increases and patient may regain consciousness
Solution Approach 1:
The CPR system dynamically adjusts compression parameters (frequency, depth, duration) in real-time based on patient response monitoring. When the patient regains consciousness, the system automatically modifies compression characteristics to reduce discomfort while maintaining adequate circulation, enabling adaptive optimization of the contradiction between circulation effectiveness and patient comfort
Solution Approach 2:
The system changes physical parameters of chest compressions (frequency, depth, duty cycle) based on detected patient consciousness state. By monitoring patient response and adjusting compression parameters accordingly, the system resolves the contradiction by finding optimal parameter settings that maintain circulation while preventing patient awakening or reducing discomfort
2Productivity
If chest compression depth is increased to improve blood circulation, then blood circulation effectiveness is improved, but patient discomfort and risk of organ damage increase
Solution Approach 1:
The system dynamically adjusts compression depth based on real-time feedback from patient monitoring sensors. When patient discomfort or signs of organ stress are detected, the system automatically reduces compression depth while compensating by adjusting other parameters (frequency, duty cycle) to maintain adequate circulation, thereby resolving the contradiction between circulation effectiveness and harm reduction
Solution Approach 2:
The system modifies compression depth parameter in response to detected patient conditions. By continuously monitoring patient response and adjusting compression depth along with other parameters, the system optimizes the balance between achieving adequate blood circulation and minimizing harmful effects on the patient
3Device complexity
If manual CPR is performed to provide chest compressions, then device complexity is reduced, but compression consistency and reliability deteriorate due to rescuer fatigue
Solution Approach 1:
The CPR system is designed to operate autonomously without requiring continuous human intervention. Once initiated, the system self-regulates compression delivery, monitors patient response, and automatically adjusts parameters, eliminating rescuer fatigue while maintaining compression consistency. The system serves itself by integrating sensing, processing, and actuation functions into an autonomous device
4Object-affected harmful factors
If patient is kept unconscious during CPR to reduce discomfort, then patient comfort is improved, but monitoring of patient status becomes more difficult
Solution Approach 1:
The system implements continuous feedback monitoring using sensors that detect patient physiological parameters (movement, electrical activity, respiratory status). This feedback loop enables the system to monitor unconscious patient status objectively, resolving the contradiction by providing reliable monitoring capabilities that work effectively regardless of patient consciousness state
Solution Approach 2:
The system replaces manual visual monitoring with electronic sensing and automated detection methods. Sensors and processors detect patient status through physiological signals, eliminating the need for direct visual observation and enabling accurate monitoring of unconscious patients through objective electronic measurements
Data Source
AI summary
A CPR system includes a retention structure to retain the patient's body, and a compression mechanism to perform CPR compressions to the patient's chest. The CPR system further includes a processor to control the compression mechanism, and thus the performance of the CPR compressions. In embodiments, the CPR system compresses at a rate or frequency that is purposely sub-optimal for circulation at least some of the time, and especially when it is detected that the patient has regained consciousness. An advantage can be that the patient may thus faint again, and therefore perceive less of the unpleasant experience of the mechanical chest compressions that the CPR system continues to perform on them as it preserves them alive.