Method and instrument for evaluating ventricular fibrillation signal quality and defibrillation success rate in real time
A signal quality and signal quality evaluation technology, applied in sensors, diagnostic recording/measurement, medical science, etc., can solve the problem of low calculation accuracy of defibrillation success rate, inability to automatically judge whether there is interference in ECG signals, and inability to accurately evaluate Ventricular fibrillation signal quality and other issues
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Embodiment 1
[0047] Such as figure 1 As shown, the present invention provides a method for real-time evaluation of ventricular fibrillation signal quality and defibrillation success rate, comprising the following steps:
[0048] Step 1. Collect ECG signals according to the interval Δt, and the collection time is T;
[0049] Step 2, preprocessing the collected ECG signals;
[0050] Step 3, performing rhythm analysis on the preprocessed ECG signal to determine the type of the ECG signal;
[0051] Step 4. According to the judgment result of ECG signal type, start the calculation of ventricular fibrillation signal quality index; by calculating the autocorrelation coefficient sequence of the preprocessed ECG signal, combined with the peak / trough distribution characteristics extracted from the autocorrelation coefficient sequence , get the ventricular fibrillation signal quality index;
[0052] Step 5. Comparing the ventricular fibrillation signal quality index with a set threshold to evaluat...
Embodiment 2
[0085] In clinical practice, there will be interference signals generated by chest compressions, making the evaluation result of ventricular fibrillation signal quality low-quality ventricular fibrillation signals. At this time, chest compressions are generally carried out continuously. Interference signals, ventricular fibrillation signal quality evaluation results will always be low-quality ventricular fibrillation signals, but the electric shock defibrillation operation cannot be performed just because the evaluation result is low-quality ventricular fibrillation signals, which will endanger the life safety of patients. Therefore, even if the evaluation result is a continuous low-quality ventricular fibrillation signal, it is necessary to select a time period with a relatively high success rate of electric shock defibrillation for electric shock defibrillation. In order to solve the above technical problems, further optimization on the basis of embodiment 1, the following te...
Embodiment 2
[0087] The working principle of Embodiment 2 is described in detail below:
[0088] The manner of filtering the noise of the electrocardiographic signal is not limited, and any one or more implementable manners in the prior art may be adopted, and an example is used in this embodiment. For example: ECG denoising based on minimum square root error, ECG signal denoising based on wavelet threshold method, ECG signal denoising based on dual-tree complex wavelet transform, and so on. After the filtering process, the waveform feature extraction and the calculation and analysis of the probability of successful defibrillation are performed on the ECG signal.
[0089] In this embodiment, when performing filtering processing, the ECG signal preprocessed in Embodiment 1 can be filtered again, or the collected ECG signal can be directly filtered without preprocessing deal with. When the ventricular fibrillation signal is a low-quality ventricular fibrillation signal, the value of the ve...
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