Defibrillator Shock Parameter Adjustment via ECG Transform Value
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Solution Overview
Problem
Current non-invasive medical devices for cardiac arrhythmia management, such as wearable defibrillators, face challenges in accurately and timely delivering defibrillation shocks due to variations in cardiac rhythms and patient responses, leading to potential delays in treatment effectiveness.
Innovation Solution
An ambulatory medical monitoring and treatment device that utilizes electrocardiogram (ECG) signal analysis to determine a transform value representing frequency components, classifying cardiac rhythms as shockable or non-shockable, and adjusts defibrillation shock parameters based on these values, including energy and waveform characteristics, to deliver appropriate therapy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed defibrillation shock parameters are used, then device simplicity is maintained, but treatment effectiveness decreases due to variations in cardiac rhythms
Solution Approach 1:
The patent implements dynamic adjustment of defibrillation shock parameters based on real-time analysis of ECG signal transform values. The system continuously monitors cardiac rhythm characteristics and automatically modifies shock energy, waveform configuration, and delivery timing to match the patient's current physiological state, thereby resolving the contradiction between maintaining device simplicity and achieving treatment effectiveness across varying cardiac conditions
Solution Approach 2:
The system changes multiple shock delivery parameters including energy levels, waveform shape, pulse duration, and inter-shock intervals based on transform value thresholds. By dynamically modifying these parameters according to detected cardiac rhythm characteristics, the system achieves adaptive treatment effectiveness without requiring complex manual intervention, thus resolving the contradiction between reliability and device complexity
2Measurement precision
If comprehensive ECG analysis is performed to classify arrhythmias, then treatment accuracy is improved, but treatment time increases due to analysis duration
Solution Approach 1:
The system performs preliminary classification of cardiac rhythms using transform value thresholds to quickly identify shockable versus non-shockable arrhythmias. By establishing predetermined threshold criteria for rhythm classification, the system achieves accurate arrhythmia identification without requiring lengthy analysis periods, thus resolving the contradiction between measurement precision and time loss
Solution Approach 2:
The ECG analysis process is segmented into distinct stages: initial rhythm detection, transform value calculation, threshold comparison, and classification decision. This segmentation allows the system to perform comprehensive analysis systematically, achieving high classification accuracy while minimizing total analysis time by processing different aspects of the ECG signal in optimized sequences
3Productivity
If shock delivery parameters are adjusted based on transform values, then treatment optimization is achieved, but device complexity increases
Solution Approach 1:
The defibrillator system performs self-adjustment of shock parameters based on automatic analysis of its own ECG signal measurements. The device independently calculates transform values, compares them against threshold criteria, and modifies shock delivery parameters without requiring external intervention or complex control interfaces, thereby achieving treatment optimization while limiting the increase in operational device complexity
Solution Approach 2:
The system implements a feedback loop where transform value measurements from ECG analysis directly influence subsequent shock parameter selections. By continuously monitoring rhythm characteristics and adjusting parameters based on this feedback, the system achieves optimized treatment outcomes. The feedback mechanism is automated and integrated into the device's control logic, minimizing the complexity burden while maximizing treatment productivity
Data Source
AI summary
A medical device that includes a power source, a therapy delivery interface, therapy electrodes, electrocardiogram (ECG) sensing electrodes to sense ECG signal of a heart of a patient, a sensor interface to receive and digitize the ECG signal, and a processor. The processor is configured to analyze the ECG signal to determine a cardiac rhythm and a transform value representing a magnitude of a frequency component of the cardiac rhythm, analyze the cardiac rhythm and the transform value to detect a shockable cardiac arrhythmia by classifying the cardiac rhythm as a noise rhythm or a shockable cardiac arrhythmia rhythm based on the transform value, and causing the processor to detect the cardiac arrhythmia if classifying the cardiac rhythm as a shockable cardiac arrhythmia rhythm, initiate a treatment alarm sequence, adjust the shock delivery parameter for a defibrillation shock, and provide the defibrillation shock via the therapy electrodes.