Chest Compression Machine Adjusting Depth via CO2 Feedback

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Solution Overview

Problem

Existing mechanical CPR devices lack the ability to accurately and efficiently adjust chest compression parameters, such as depth, rate, and active decompression, in real-time based on a patient's changing physiological condition.

Innovation Solution

A chest compression machine system that utilizes physiological parameter data, such as CO2 production, to adjust and alter the administration of chest compressions and active decompressions through a treatment profile with escalating or de-escalating options.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If mechanical CPR devices use fixed adjustable settings based on user experience, then the device is easy to operate, but the treatment accuracy and efficacy are reduced

Engineering Contradiction:
Improvetreatment accuracyVSAvoiddevice complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system continuously monitors patient physiological parameters (such as chest wall impedance, motion sensors, ECG signals) and uses this feedback to automatically adjust compression depth, rate, and active decompression timing. This closed-loop control enables real-time optimization of CPR parameters without requiring complex manual adjustments by operators.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The device performs self-adjustment of treatment parameters based on embedded sensors and algorithms that automatically detect patient response and optimize compression mechanics. The system serves itself by making real-time parameter modifications without external intervention, thereby improving accuracy while maintaining operational simplicity.

Inventive Principle:
Principle #25Self-service

2Reliability

If mechanical CPR devices administer compressions at fixed rate and depth, then the device complexity is low, but the treatment efficacy is reduced

Engineering Contradiction:
Improvetreatment efficacyVSAvoiddevice complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system transitions from static fixed-rate compression to dynamic adjustment of compression parameters. Sensors detect patient chest wall motion, impedance changes, and hemodynamic responses to continuously optimize compression depth, rate, and active decompression timing, thereby improving treatment reliability through adaptive mechanics.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The device automatically modifies treatment parameters including compression depth, compression rate, and active decompression timing based on real-time physiological feedback. These parameter changes are driven by sensor data and control algorithms that optimize CPR efficacy without requiring complex manual reconfiguration.

Inventive Principle:
Principle #35Parameter changes

3Adaptability or versatility

If mechanical CPR devices lack real-time physiological monitoring, then the device complexity is low, but the ability to adjust treatment based on patient condition is reduced

Engineering Contradiction:
Improveadaptability to patient conditionVSAvoiddevice complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system integrates multiple functions including physiological parameter monitoring, compression delivery, active decompression, and automatic parameter adjustment within a single device platform. Sensors monitor chest wall motion, electrical impedance, and cardiac activity while the control system coordinates all functions to adapt treatment to patient condition, achieving versatility without proportionally increasing complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system uses physiological parameters (such as chest wall impedance and motion sensors) as intermediaries to bridge the gap between patient condition and treatment adjustment. These sensors serve as mediators that translate patient physiological state into automated control signals for optimizing compression parameters.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS20250152464A1Chest compression machine systems and methods
Publication Date: 2025.05.15 STRYKER CORP
  • US20250152464A1 patent drawing
  • US20250152464A1 patent drawing
  • US20250152464A1 patent drawing

AI summary

Chest compression machine systems and methods adjust the administration of patient treatment based on received physiological parameter measurements, such as a CO2 measurement. Adjustment of the administered chest compressions can include adjusting one or more chest compression parameters, such as the depth of the administered compressions, the administration of active decompressions, adjusting the height of active decompression, adjusting the rate of compressions and/or active decompressions and/or other changes to one or more properties, or characteristics, of the administered chest compressions and/or active decompressions.