Real-Time CPR Feedback via Computer Vision and AR
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Solution Overview
Problem
Current methods for guiding CPR and defibrillation lack real-time feedback and visual validation, particularly for untrained responders, and fail to address issues like leaning during CPR and correct pad placement on patients, which can impact treatment efficacy.
Innovation Solution
A system utilizing computer vision, augmented reality glasses, and inertial measurement units to provide real-time feedback and coaching on CPR depth, rate, and defibrillator pad placement, while also identifying environmental hazards and adjusting for rescuer position and patient orientation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If real-time feedback system is implemented, then CPR technique accuracy is improved, but device complexity increases
Solution Approach 1:
The system integrates multiple functions into a single device: camera for visual tracking, computer for real-time analysis, cuing device for feedback delivery, and inertial measurement unit for motion detection. This multi-functional integration improves CPR technique accuracy while managing system complexity through consolidation rather than separate components.
Solution Approach 2:
The patent replaces manual mechanical assessment of CPR technique with automated optical and inertial sensing systems. The camera captures visual data and the inertial measurement unit detects chest compression motions, substituting human judgment with automated detection algorithms that analyze the captured data to provide objective real-time feedback on compression depth and rate.
2Reliability
If visual validation is added to guide pad placement, then defibrillation effectiveness is improved, but device complexity increases
Solution Approach 1:
The camera acts as an intermediary between the rescuer and the patient's chest, capturing visual images of pad placement. The computer processes these images to validate correct positioning, serving as a mediator that translates visual information into actionable feedback through the cuing device, thereby improving defibrillation effectiveness without requiring direct complex sensing on the patient's body.
Solution Approach 2:
The system creates a visual copy (image) of the pad placement scene through the camera, allowing the computer to analyze and validate positioning without physical contact or complex sensors on the patient. This optical copying approach simplifies the interaction while maintaining high reliability in assessing pad placement accuracy.
3Manufacturing precision
If real-time monitoring of compression depth and rate is implemented, then CPR quality is improved, but loss of time increases
Solution Approach 1:
The system provides continuous real-time monitoring and feedback during CPR without interruption. The camera continuously captures visual data, the computer continuously analyzes compression depth and rate, and the cuing device continuously provides feedback, ensuring that the useful action of CPR quality improvement occurs without pause or delay throughout the resuscitation process.
Solution Approach 2:
The system implements immediate feedback loops where the inertial measurement unit and camera detect compression parameters in real-time, the computer processes this data instantaneously, and the cuing device provides immediate corrective feedback to the rescuer. This continuous feedback mechanism improves CPR quality without time loss by eliminating delays between action and correction.
4Reliability
If computerized feedback system is provided, then survival rate is improved, but device complexity increases
Solution Approach 1:
The system enables the rescuer to self-correct CPR technique through automated feedback. The camera and inertial measurement unit monitor performance, the computer analyzes the data, and the cuing device provides real-time guidance that allows the rescuer to independently adjust compression depth and rate, improving survival outcomes without requiring constant expert intervention or complex manual systems.
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 treatment efficacy by ensuring proper CPR technique and pad placement, reducing the risk of complications and improving survival rates during cardiac emergencies by providing immediate, data-driven guidance to rescuers.
Implementation Method 1
a camera, a radar gun, or a microwave sensor. The computer is configured for using the electromagnetic signal to compute a distance
Implementation Method 2
a camera, a radar gun, or a microwave sensor. The computer is configured for using the electromagnetic signal to compute a distance
Implementation Method 3
a camera, a radar gun, or a microwave sensor. The computer is configured for using the electromagnetic signal to compute a distance
Data Source
AI summary
A method to provide real-time feedback and coaching to augment cardiac rescue by a rescuer. The rescuer would typically be attempting cardiopulmonary resuscitation (CPR) or administering an electrical shock from a defibrillator. The method includes steps of providing a computer, a data-generation device, a cuing device, using the data-generation device, and activating the cuing device. Optional steps include: attaching an article to the rescuer, providing a stationary component, using the camera to provide data to the computer; recording data from the use of a defibrillator; and combining data from the use of a defibrillator and the data on a rate of cardio pulmonary resuscitation and depth of chest compression by the rescuer with video data from the camera to produce combined data, which will be available for after-action review.