A Pathologically Adaptive Heart Sound Total Variational Filtering Method
A fully variable and self-adaptive technology, applied in the field of medical computing biometric feature recognition, can solve problems such as aliasing, small proportions, and inability to remove lung sounds
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[0091] The present invention proposes a pathologically self-adaptive heart sound full variation filtering method, such as figure 1 shown. Specifically include the following steps:
[0092] Step 1. Add additive Gaussian white noise to the original heart sound signal, and then use the method of spectrum analysis to obtain the frequency distribution of the noise-added signal;
[0093] As preferably, step 1 specifically includes the following sub-steps:
[0094] S1.A adds Gaussian white noise to the heart sound signal to obtain the noise-added signal HS noise (n), figure 2 is the relationship between the added Gaussian white noise and the standard deviation. figure 2"δ" is the standard deviation value of Gaussian white noise, "Sample points" is the number of sample points, and the z-axis is the amplitude of Gaussian white noise. As the standard deviation increases, the uncertainty interval of the amplitude of Gaussian white noise is also increasing. Therefore, for heart sou...
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