Wavelet analysis-based respiration abnormity monitoring method
A technology for breathing abnormalities and wavelet analysis, which is applied in the evaluation of respiratory organs, diagnostic recording/measurement, medical science, etc., and can solve the problems of patients' breathing effects, inflexible masks, and heavy wearing
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[0086] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0087] By using the humidity sensor to monitor the user's respiratory waveform signal, and using the fitting method based on the interpolation function to determine the frequency band boundary of the respiratory waveform signal, design a wavelet filter based on the determined frequency band boundary, and use the wavelet filter to automatically process the respiratory waveform signal. Adapt to the decomposition process, and use the wavelet threshold function to denoise the decomposed signal, and use the random forest model to identify abnormal breathing on the denoised respiratory signal. refer to figure 1 As shown, it is a schematic diagram of a method for monitoring abnormal breathing based on wavelet analysis provided by an embodiment of the present invention.
[0088] In this embodiment, the abnormal breathing mon...
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