CPR Device Using EEG Brain Activation Index
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Solution Overview
Problem
Current cardiopulmonary resuscitation devices lack the ability to accurately measure brain activity during resuscitation procedures, rely on chest compression rates as the sole indicator, and do not integrate remote bio-signal monitoring and defibrillation functions effectively.
Innovation Solution
A cardiopulmonary resuscitation device that includes an electroencephalogram detection unit to measure brain activity, a calculation processing unit to derive a brain activation index using BSR, beta ratio, and SynchFastSlow, and a built-in defibrillator, capable of remote monitoring and displaying feedback information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional CPR devices use chest compression rate as the only CPR signal, then the device complexity is low, but the measurement precision of resuscitation effectiveness is insufficient
Solution Approach 1:
The patent combines multiple detection functions (ECG, oxygen saturation, EEG, and chest compression monitoring) into a single integrated CPR device. The control unit processes signals from all sensors and generates a comprehensive CPR advice signal, merging previously separate monitoring functions into one unified system that provides holistic resuscitation guidance.
Solution Approach 2:
The CPR device is designed with multi-functionality, serving as both a basic chest compression monitor and an advanced neurological monitoring system. By incorporating EEG detection and brain activity monitoring capabilities, the device can adapt to different resuscitation scenarios and provide tailored CPR advice based on the patient's specific condition, whether cardiac or non-cardiac arrest.
2Measurement precision
If CPR devices include multiple detection functions (ECG, oxygen saturation, EEG), then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The control unit automatically processes and analyzes signals from multiple sensors (ECG, oxygen saturation, EEG) without requiring manual intervention. It autonomously determines CPR effectiveness, generates advice signals, and provides feedback to the rescuer, enabling the device to serve itself in signal processing and decision-making, thereby reducing the operational complexity despite multiple detection functions.
Solution Approach 2:
The device implements a feedback mechanism where the control unit continuously monitors signals from all sensors, analyzes CPR effectiveness in real-time, and provides immediate feedback through advice signals to the rescuer. This closed-loop feedback system optimizes the resuscitation process by dynamically adjusting guidance based on the patient's response to CPR, improving measurement precision while managing complexity through automated feedback control.
3Ease of operation
If the device is used in narrow spaces like ambulances, then the ease of operation is improved for quick deployment, but the device complexity must be managed for compact integration
Solution Approach 1:
The patent employs a nested structure where the holder contains the main body portion, which in turn houses all detection units, processing circuits, and power supply. The electroencephalogram detection unit, ECG sensors, and other components are integrated within the compact main body, allowing the entire system to be stored in a space-efficient manner suitable for ambulance environments while maintaining full functionality.
Data Source
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AI summary
The present invention relates to a cardiopulmonary resuscitation device that measures electrocardiogram and oxygen saturation during a cardiopulmonary resuscitation procedure, detects brain activity in real time which is a degree of blood circulation to the brain by measuring electroencephalogram, is equipped with a defibrillation function, uses a brain activation index as a CPR signal indicating a degree of cardiopulmonary resuscitation, and is capable of bio signal remote monitoring in a pre-hospital step. The cardiopulmonary resuscitation device includes an electroencephalogram detection unit for detecting an electroencephalogram signal in the frontal lobe and a calculation processing unit for detecting a brain activation index from an electroencephalogram signal received by the electroencephalogram detection unit. The cardiopulmonary resuscitation device uses a brain activation index as a CPR signal indicating a degree of cardiopulmonary resuscitation, and the brain activation index is any one of a burst suppression ratio (BSR), a beta ratio, and a relative synchrony of fast and slow wave (SynchFastSlow, SFS). The calculation processing unit removes a noise in an electroencephalogram signal received by the electroencephalogram detection unit and calculates a beta ratio from the electroencephalogram signal in which a noise has been removed according to: Beta Ratio=logspectral power 30−47Hz/spectral power11-20Hz (where spectral power (30-47Hz) is a power spectrum of 30 to 47Hz in the electroencephalogram and spectral power (11-20Hz) is 11 to 20Hz in the electroencephalogram).