Signal quality assessment method of wearable electrocardiogram monitoring device
A signal quality assessment and quality assessment technology, applied in the directions of diagnostic recording/measurement, medical science, diagnosis, etc., can solve problems such as ECG signal mixing, affecting heart rate calculation ECG parameter analysis results, interference, etc., to improve accuracy. Effect
Active Publication Date: 2019-11-05
ARMY MEDICAL UNIV
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Problems solved by technology
However, wearable ECG monitoring is faced with the influence of motion interference, especially when the range of physical activity is large and the intensity of exercise is high. The ECG signal will be mixed with serious interference, which will affect the accurate calculation of heart rate and the analysis results of ECG parameters.
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[0060] The present invention will be further described below in conjunction with the embodiments and drawings.
[0061] Such as figure 1 The signal quality evaluation method flow chart of the wearable ECG monitoring device is shown, and the evaluation method includes:
[0062] Step 1. According to the preset interception length, intercept the ECG data x(n) collected by the ECG monitoring equipment;
[0063] Step 2. Perform data processing on the intercepted ECG data x(n) to generate processed data;
[0064] Step 3. Divide the processed data into N amplitude intervals A according to the amplitude i , And count each amplitude interval A i The amount of data n i ;
[0065] Step 4. Select the amplitude interval A i The amount of data n i Assess signal quality.
[0066] Specifically, in real time, from the ECG data of each channel collected by the wearable ECG monitoring device, a segment of ECG data with the same length as the preset interception length is respectively intercepted. Under no...
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The invention discloses a signal quality assessment method of a wearable electrocardiogram monitoring device. The method is used for selecting a low noise signal channel and a high-quality signal section, and thus the influence of movement disturbance on real-time analysis results of heart rate and electrocardiogram parameters is avoided. According to the method, firstly, the morphological characteristic of an electrocardiogram signal is highlighted through data conversion, then the maximum threshold is determined by using signal amplitude statistical distribution state, signal amplitude is segmented at equal intervals according to the maximum threshold, and finally, statistic of the number of sample points falling in different segmented areas is conducted, the signal quality is assessed by using the segmented area ratio, thus an electrocardiogram data segment with the high signal quality is judged and selected in real time, and the method is used for accurate heart rate calculation and effective electrocardiogram analysis of electrocardiogram monitoring in various states.
Description
Technical field [0001] The present invention relates to the field of information and communication technology used to handle or process medical or health data, and in particular to a signal quality evaluation method of a wearable electrocardiogram monitoring device. Background technique [0002] In wearable ECG monitoring, the calculation of heart rate and the analysis of the PR interval, QRS width, QT interval and other parameters of the ECG signal can monitor human heart activity in real time. On the one hand, it can detect the occurrence of abnormal electrical activity of the human heart in real time, which has high clinical application value. However, wearable ECG monitoring faces the influence of exercise interference, especially when the limbs are large and the exercise intensity is high, the ECG signal will be mixed with serious interference, which will affect the accurate calculation of heart rate and the analysis of ECG parameters. . [0003] Therefore, there is a need f...
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IPC IPC(8): A61B5/0402A61B5/00
CPCA61B5/7221A61B5/318
Inventor 李永勤龚渝顺魏良谢佳玲王建杰陈碧华何密
Owner ARMY MEDICAL UNIV