Smart Watch Rescuer Fatigue Monitoring for CPR Quality
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Solution Overview
Problem
Current CPR techniques lack effective feedback mechanisms for rescuers, leading to suboptimal performance due to fatigue and varying stamina levels, which can result in inadequate chest compressions and ventilation, potentially compromising patient outcomes.
Innovation Solution
A wrist-worn smart watch device equipped with sensors to monitor rescuer fatigue and CPR quality, providing real-time feedback and switching instructions to ensure optimal performance by adjusting roles based on physical stamina and CPR quality metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If rescuers perform CPR for extended periods to maintain patient perfusion, then patient survival chances improve, but rescuer fatigue increases leading to degraded CPR quality
Solution Approach 1:
The system continuously monitors CPR quality metrics (compression depth, rate, recoil) and rescuer fatigue indicators (heart rate, movement patterns) to provide real-time feedback. This enables dynamic adjustment of CPR performance and timely rescuer rotation to maintain optimal compression quality throughout the resuscitation effort.
Solution Approach 2:
The system dynamically adapts CPR protocols based on real-time data. Compression depth and rate targets are adjusted according to patient response and rescuer fatigue levels. The system transitions from static protocol-based CPR to dynamic, data-driven CPR optimization.
2Reliability
If multiple rescuers are deployed to maintain CPR quality, then CPR performance improves, but coordination complexity and time loss increase
Solution Approach 1:
The smartwatch system serves multiple functions: it monitors CPR quality, tracks rescuer fatigue, provides real-time feedback, coordinates rescuer rotation, and communicates with the defibrillator. This multi-functional approach consolidates what would otherwise require multiple separate systems into a single wearable device per rescuer.
Solution Approach 2:
The smartwatch acts as an intermediary between the rescuer, the patient, and the defibrillator. It translates complex physiological data into simple visual feedback, automatically coordinates rescuer rotations without requiring manual communication, and synchronizes with the defibrillator system to maintain seamless CPR delivery.
3Reliability
If real-time CPR feedback is provided to rescuers, then CPR quality improves, but device complexity and power consumption increase
Solution Approach 1:
The system extracts only the most critical CPR metrics (compression depth, rate, recoil) and fatigue indicators (heart rate, movement patterns) for real-time monitoring and feedback. Less critical data is processed offline or not monitored continuously, reducing computational burden while maintaining clinical effectiveness.
Solution Approach 2:
The system uses low-cost, low-power sensors and processors that can be disposed of or easily replaced after use. The smartwatch prioritizes battery-efficient operation with low-power display modes and intermittent high-power processing only when needed for critical decisions.
4Reliability
If rescuer fatigue is monitored and rotation is implemented, then CPR quality is maintained, but intervention time and system complexity increase
Solution Approach 1:
The system proactively identifies fatigue trends and predicts when CPR quality degradation will occur, initiating rescuer rotation before actual fatigue sets in. By anticipating the need for rotation based on early fatigue indicators, the system minimizes disruption to CPR continuity.
Solution Approach 2:
The system uses rapid, automated fatigue assessment algorithms that quickly analyze sensor data to determine rotation timing, skipping lengthy manual evaluations. The smartwatch instantly processes multiple physiological parameters and provides rotation recommendations without delaying CPR delivery.
Data Source
AI summary
Systems and methods related to the field of cardiac resuscitation, and in particular to devices for assisting rescuers in performing cardio-pulmonary resuscitation (CPR), are described herein. In one aspect, a method for managing cardiopulmonary resuscitation (CPR) treatment to a person in need of emergency assistance includes monitoring a parameter that indicates a fatigue level of a rescuer and providing an indication that a different person should perform the CPR component if the rescuer is exhibiting fatigue.