Wearable Rescuer Role Identification for Coordinated CPR Feedback
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Solution Overview
Problem
Existing CPR systems lack efficient methods to identify role changes among rescuers and provide real-time, coordinated feedback on chest compression quality and ventilation, which is crucial for effective acute care in emergency situations.
Innovation Solution
A system of wearable devices with sensors and processing circuitry to monitor and analyze motion data, determine the rescuer performing chest compressions, and provide real-time feedback on compression depth and rate, while also identifying role changes among rescuers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple rescuers perform CPR simultaneously without role identification, then CPR coverage is maintained, but feedback coordination becomes impossible and role transitions are not tracked
Solution Approach 1:
The system provides real-time feedback to each rescuer by transmitting role identification results to portable computing devices, enabling coordinated feedback based on current roles while maintaining CPR quality
Solution Approach 2:
Motion sensor data serves as an intermediary to indirectly identify rescuer roles without requiring direct communication or manual input from rescuers, resolving the information loss problem
2Productivity
If manual role tracking is used among rescuers, then role information can be recorded, but response time during role transitions increases and coordination efficiency decreases
Solution Approach 1:
The system automatically identifies rescuer roles through motion sensors without requiring manual input or communication between rescuers, enabling instantaneous role detection and eliminating transition delays
Solution Approach 2:
Manual role tracking is replaced with automated motion sensor-based identification, substituting mechanical human coordination with electronic detection and processing systems
3Ease of operation
If general feedback is provided to all rescuers, then information distribution is simple, but feedback precision for specific roles (compression quality, ventilation timing) is insufficient
Solution Approach 1:
Feedback is customized according to each rescuer's identified role, with compression providers receiving depth and rate feedback while ventilation providers receive timing feedback, ensuring precision for specific roles
4Measurement precision
If accelerometers are used to monitor compression depth, then compression quality can be measured, but the system cannot identify which rescuer is performing compressions or provide coordinated team feedback
Solution Approach 1:
Motion sensor data acts as an intermediary to identify which rescuer is performing compressions by analyzing characteristic motion patterns, preserving rescuer identification information while maintaining measurement precision
Solution Approach 2:
The system replaces manual rescuer identification with automated motion pattern recognition, substituting mechanical observation with electronic sensor-based detection
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
Enables accurate identification of rescuer roles and provides timely, targeted feedback, enhancing the quality of CPR by maintaining optimal compression rates and depths, and facilitating seamless role transitions during emergencies.
Implementation Method 1
at least one sensor configured to detect motion
Data Source
AI summary
In an illustrative embodiment, a system for collecting and presenting metrics related to each member of a team of rescuers involved in a resuscitation effort includes a set of wearable devices, each configured to determine role-identifying data indicative of a role of a rescuer donning the respective device. The system may include a portable computing device for storing, during the resuscitation effort, a time progression of compression data and ventilation data, receiving the role-identifying data from the wearable devices, and storing a time series of role information representing a series of changes in roles among the team of rescuers. The system may include a remote computing system for preparing a case overview GUI presenting time periods of compression data, each time period being visually correlated with a current rescuer and/or current wearable device corresponding to the compression role.


