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Heart rate variability signal analysis method based on extreme value energy decomposition method

A signal analysis method and heart rate variability technology, applied in diagnostic recording/measurement, medical science, diagnosis, etc., can solve problems such as lack of details, inflexible segmentation, and rough frequency domain segmentation

Active Publication Date: 2019-11-19
JIANGSU HUAKANG INFORMATION TECH CO LTD
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Problems solved by technology

However, PSD is not a data-driven approach, and the segmentation in the frequency domain is rough, resulting in missing details and inflexible segmentation.

Method used

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  • Heart rate variability signal analysis method based on extreme value energy decomposition method
  • Heart rate variability signal analysis method based on extreme value energy decomposition method
  • Heart rate variability signal analysis method based on extreme value energy decomposition method

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Embodiment 1

[0057] The EED analysis method was used to analyze the energy distribution of the ECG of healthy people and CHF patients at different levels.

[0058] A heart rate variability signal analysis method based on extreme value energy decomposition method for healthy people, comprising the following steps:

[0059] (1) Obtain the ECG signals of healthy people from the RR interval database nsr2db of physiionet; the data contains 54 healthy people (age 28-76, average 61), and then denoise and preprocess the ECG signals, and extract the RRI signals from them , to obtain the RRI signal x(t); the specific method of denoising preprocessing is: since the ECG energy is mainly concentrated in 0-40Hz, the ECG signal is filtered through a 40Hz zero-phase FIR low-pass filter to eliminate high-frequency noise, and then passed through the middle value filter to remove baseline drift;

[0060] (2), using the RRI signal x(t) as the original signal, the minimum amount of data required by the origin...

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Abstract

The invention discloses a heart rate variability signal analysis method based on an extreme value energy decomposition method. The heart rate variability signal analysis method comprises the followingsteps: acquiring an ECG (electrocardiograph) signal at an unknown state at a provided moment and a provided sampling frequency, and performing denoising so as to obtain an RRI (interbeat interval) signal x(t); by taking the RRI signal x(t) as an original signal, decomposing the original signal x(t) into n extreme value intrinsic mode function components and one margin, and judging whether the RRIsignal is an abnormal heart rate variability signal or not according to the n extreme value intrinsic mode function components, wherein the n extreme value intrinsic mode function components obtainedby decomposing the original signal x(t) represent components of the original signals at different frequency bands. The RRI signal is analyzed by using the extreme value energy decomposition method, the original signal is decomposed into multiple components, that is, extreme value component functions, the energy of each component is calculated, and thus energy distribution of the RRI signal can beobtained.

Description

technical field [0001] The invention relates to an electrocardiogram signal analysis, in particular to a heart rate variability signal analysis method based on an extreme value energy decomposition method. Background technique [0002] Physiological signals are generated by the interaction of multiple systems in a living body, and the time and intensity of different systems are different, resulting in the complexity of physiological signals in time and space. Heart rate variability (HRV) refers to the measurement of the variation in time between consecutive cardiac cycles, to be precise, it should be the variation in the measurement of the difference between consecutive normal P-P intervals. However, because the P wave is not as obvious as the R wave or the top of the P wave is sometimes broad and blunt, the research on the heart rate variability signal is usually replaced by the R-R interval signal (RRI) which is equal to the P-P interval. Studies have shown that HRV can b...

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Application Information

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IPC IPC(8): A61B5/0402A61B5/0205A61B5/00
CPCA61B5/0205A61B5/02405A61B5/0245A61B5/7203A61B5/7235A61B5/725A61B5/316A61B5/318
Inventor 周作建宁新宝王斌斌姜晓东王华
Owner JIANGSU HUAKANG INFORMATION TECH CO LTD
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