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Interference wave identification method for ECG signal on wearable device

A wearable device and identification method technology, which is applied in the field of medical testing, can solve problems such as not being well adapted to dry electrode application scenarios, and achieve the effects of improving analysis speed and accuracy, reducing trouble, and improving analysis efficiency

Pending Publication Date: 2022-01-11
ZHEJIANG HELOWIN MEDICAL TECH
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Problems solved by technology

[0003] The current analysis methods for the noise pollution degree of ECG signals are mainly applicable to ECG signals collected under wet electrodes, and cannot be well adapted to the application scenarios of dry electrodes.

Method used

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  • Interference wave identification method for ECG signal on wearable device
  • Interference wave identification method for ECG signal on wearable device
  • Interference wave identification method for ECG signal on wearable device

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specific Embodiment

[0073] The following is a detailed and specific introduction to each step:

[0074] 1. Data collection and preprocessing:

[0075] (1) Collect ECG data with different levels of interference. The data comes from a variety of people of different genders, different ages, and different occupations, with about 2w copies, ensuring the diversity of the data. At the same time, the voltage value whose absolute value is greater than 1000 is limited to 1000, thereby preventing the influence of individual large values ​​from being too large.

[0076] (2) Slice the ECG data according to the length of 3 seconds. The minimum scale is 4ms, that is, a piece of data is a one-dimensional vector with a length L1 of 750, and it is marked with y.

[0077] (3) The 3-second ECG data of the slice is down-sampled at an interval of 2, and after adoption, the data length L2 is 250. After experiments, it is known that downsampling can reduce the input length without losing the waveform characteristics...

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Abstract

The invention discloses an interference wave identification method for ECG signal on wearable device. The method comprises the following steps of: 1, acquiring data and preprocessing; 2, training a neural network model; 3, importing the neural network model; 4, importing data and performing identification; 5, classifying according to identification results: (1) comparing four finally output probabilities Xp, and taking the highest probability Xp; (2) comparing the highest value with a preset threshold value, if the threshold value is not exceeded; and 6, calculating an interference score: (1) setting a score matrix Grade; and (2) multiplying the probabilities of the finally output four classes by the fraction matrix to obtain a final fraction F. According to the method, the interference waves caused by external factors in the electrocardio collection process can be quickly, accurately and automatically recognized, the trouble of subsequent analysis is reduced, the analysis speed and accuracy of subsequent programs are improved, the analysis efficiency of an electrocardio doctor is improved, and the method has the advantages that the interference waves can be carefully distinguished, and the overall analysis speed is fast and accurate.

Description

technical field [0001] The invention relates to a method for identifying an interference wave of an ECG signal on a wearable device, and belongs to the technical field of medical detection. Background technique [0002] In the process of single-lead ECG collection, it is inevitable to be affected by many external factors, such as muscle movement, electromagnetic wave interference, etc., making the data unable to be analyzed. For wearable devices, due to the use of dry electrodes to collect data, problems such as humidity changes and poor electrode contact will also be encountered. It is necessary to screen these poorly collected data in a targeted manner. Fast and accurate automatic identification of these interference waves will help reduce the trouble of subsequent analysis, improve the analysis speed and accuracy of follow-up procedures, and is also an effective method to improve the efficiency of ECG doctor analysis. [0003] The current analysis methods for the noise p...

Claims

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Application Information

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IPC IPC(8): A61B5/318A61B5/256A61B5/00G06N3/04G06N3/08
CPCA61B5/318A61B5/256A61B5/72A61B5/7267A61B5/7257G06N3/08G06N3/047G06N3/045
Inventor 方舟符灵建
Owner ZHEJIANG HELOWIN MEDICAL TECH
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