Paroxysmal atrial fibrillation scanning method and system for long-range electrocardiogram monitoring, storage medium and electronic equipment
A scanning method and electrical monitoring technology, applied in the directions of diagnostic recording/measurement, medical science, sensors, etc., can solve the problem of misjudging non-AF patients as AF, and achieve the effect of improving accuracy, reducing complexity and workload
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Embodiment 1
[0043] This embodiment provides a paroxysmal atrial fibrillation scanning method for long-term ECG monitoring, such as figure 1 shown, including the following steps:
[0044] Step 1: Obtain the ECG waveform signal. The long-term ECG signal comes from wearable ECG monitoring equipment and other forms, including non-contact ECG monitoring equipment, and then process the ECG waveform signal in a unified dimension;
[0045]Step 2: Locate the suspected atrial fibrillation on the processed ECG signal, use the processed ECG waveform to detect the characteristic point R wave, extract the RR interval, and obtain the ΔRR interval after making a difference between the RR interval, and pass the RR interval According to the distribution of the interval, ECG signals with irregular RR intervals are screened out as suspected atrial fibrillation, that is, by calculating the distribution of heartbeats with an RR interval greater than 10mv, they are suspected atrial fibrillation; Screen out som...
Embodiment 2
[0051] This embodiment provides a paroxysmal atrial fibrillation scanning system for long-term ECG monitoring, including:
[0052] The data acquisition module acquires ECG waveform signals from wearable ECG monitoring equipment and other forms, including non-contact ECG monitoring equipment, and then processes the ECG waveform signals in a unified dimension;
[0053] The data preprocessing module performs unified dimension processing on the obtained ECG waveform signal;
[0054] The atrial fibrillation signal analysis module uses the processed ECG waveform to detect the characteristic point R wave, extracts the RR interval, and obtains the ΔRR interval after making a difference between the RR intervals. Through the distribution of the RR interval, the RR interval is screened out. Regular ECG signals are suspected atrial fibrillation, that is, by calculating the distribution of heartbeats with an RR interval greater than 10mv, it is suspected atrial fibrillation; through the di...
Embodiment 3
[0058] The purpose of this embodiment is to provide a computer-readable storage medium.
[0059] A computer-readable storage medium, on which a computer program is stored for calculating the similarity of fingerprints. When the program is executed by a processor, the following steps are performed:
[0060] Obtain ECG waveform signals, which come from wearable ECG monitoring equipment and other forms, including non-contact ECG monitoring equipment, and process ECG waveform signals in a unified dimension;
[0061] The processed ECG signal is used to locate suspected atrial fibrillation, and the processed ECG waveform is used to detect the characteristic point R wave, extract the RR interval, and obtain the ΔRR interval after making a difference between the RR intervals. Distribution, screening out the ECG signal with irregular RR interval as suspected atrial fibrillation, that is, by calculating the distribution of heartbeats with an RR interval greater than 10mv, it is suspecte...
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