CPR Chest Compression Detection With Mode-Specific Feedback

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Solution Overview

Problem

Existing chest compression feedback systems for CPR are not user-friendly and compatible with multiple types of chest compression delivery systems, leading to confusion and potential distraction for rescuers, especially when transitioning between manual and automated compressions.

Innovation Solution

A system that automatically identifies the type of chest compressions and tailors feedback to the rescuer based on the identified type, providing relevant and accurate feedback without requiring rescuer input or reconfiguration, and includes a computing device to analyze motion sensor signals and control output devices for real-time feedback.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If a single feedback system is used for all chest compression types, then device complexity is reduced, but feedback accuracy and relevance deteriorate causing rescuer confusion

Engineering Contradiction:

Improvefeedback system complexityVSAvoidfeedback accuracy

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The feedback system dynamically adapts its behavior based on the detected compression type. The system transitions between different feedback modes (manual compression mode, automated compression mode, mechanically assisted mode) by analyzing motion sensor signals and adjusting feedback parameters accordingly, making the system flexible rather than static

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes feedback parameters such as compression depth thresholds, compression rate thresholds, and feedback content based on the identified compression type. For example, automated compressions have different depth and rate criteria compared to manual compressions, and the system adjusts these parameters to provide accurate feedback for each mode

Inventive Principle:

Principle #35Parameter changes

2Measurement precision

If the system requires rescuer input to identify compression type, then feedback accuracy improves, but ease of operation deteriorates due to additional rescuer burden

Engineering Contradiction:

Improvecompression type identification accuracyVSAvoidrescuer operation simplicity

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The system performs self-identification of compression type by automatically analyzing motion sensor signals without requiring rescuer input. The processor detects characteristics such as compression depth, rate, and motion patterns to determine whether compressions are manual, automated, or mechanically assisted, making the system autonomous

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system replaces manual rescuer judgment with automated electronic detection using motion sensors and signal processing algorithms. The processor analyzes sensor data to identify compression types, substituting the mechanical/cognitive process of rescuer assessment with an electronic detection system

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Loss of information

If feedback is provided for all compression parameters, then information completeness improves, but ease of operation deteriorates due to rescuer distraction

Engineering Contradiction:

Improvefeedback information completenessVSAvoidrescuer focus and attention

Core Design Contradiction:

Loss of informationVSEase of operation

Solution Approach 1:

The system provides differentiated feedback based on the specific compression type and situation. For automated compressions, feedback focuses on timing and coordination with defibrillation. For manual compressions, feedback includes compression depth and rate guidance. This localized, context-specific feedback approach ensures information completeness while avoiding unnecessary distraction

Inventive Principle:

Principle #3Local quality

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

Enhances the effectiveness and continuity of resuscitative care by providing tailored feedback that is compatible with various chest compression methods, reducing rescuer confusion and ensuring timely and efficient delivery of CPR.

Implementation Method 1

at least one motion sensor configured to generate motion sensor signals that are indicative of motion of the chest of the victim during chest compressions

Methodology Applied

Scientific EffectMotion detection:

Data Source

PatentUS20260014052A1Automated Detection of Cardiopulmonary Resuscitation Chest Compressions

Publication Date: 2026.01.15 ZOLL MEDICAL CORPORATION

AI summary

A system for assisting a rescuer in providing resuscitative treatment to a victim is described. The system includes a motion sensor configured to generate motion sensor signals that are indicative of motion of the chest of the victim during chest compressions, an input device configured to receive user input indicative of a type of chest compressions, an output device, and a processor, a memory, and associated circuitry, the processor communicatively coupled to the motion sensor, the input device, and the output device and is configured to receive the motion sensor signals and the user input indicative of the type of chest compressions, determine chest compression feedback for the rescuer based on the motion sensor signals, and control the output device to selectively provide the chest compression feedback for the rescuer based at least in part on the type of chest compressions indicated by the user input.