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A 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: 2020-09-01
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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  • A Heart Rate Variability Signal Analysis Method Based on Extreme Value Energy Decomposition Method
  • A Heart Rate Variability Signal Analysis Method Based on Extreme Value Energy Decomposition Method
  • A 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

A heart rate variability signal analysis method based on an extremum energy decomposition method, comprising obtaining an ECG signal in an unknown state at a given time and a given sampling frequency, and denoising the ECG signal to obtain an RRI signal x(t); using the RRI signal x(t) as an original signal, and decomposing the original signal x(t) into n extremum mode function components and one margin, the n extremum mode function components obtained by decomposing the original signal x(t) representing components of the original signal in different frequency bands; and determining, according to the n extremum mode function components, whether the RRI signal is an abnormal heart rate variability signal. According to the present invention, the RRI signal is analyzed using an extremum energy decomposition method, the original signal is decomposed into a plurality of components, i.e., an extremum component function, and energy of each component is calculated to obtain energy distribution thereof.

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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/0402A61B5/0205A61B5/00
CPCA61B5/0205A61B5/02405A61B5/0245A61B5/7203A61B5/7235A61B5/725A61B5/316A61B5/318
Inventor 宁新宝曾彭周作建姜晓东刘果王斌斌王华
Owner JIANGSU HUAKANG INFORMATION TECH CO LTD
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