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A HRV signal analysis method for meditation training based on extreme value energy decomposition method

A signal analysis method and energy decomposition technology, applied in the field of electrocardiogram signal analysis, can solve problems such as HRV signal influence

Active Publication Date: 2020-09-01
JIANGSU HUAKANG INFORMATION TECH CO LTD
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Problems solved by technology

But the effect of meditation training on HRV signaling

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  • A HRV signal analysis method for meditation training based on extreme value energy decomposition method
  • A HRV signal analysis method for meditation training based on extreme value energy decomposition method
  • A HRV signal analysis method for meditation training based on extreme value energy decomposition method

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Embodiment 1

[0059] Tai Chi (Chi) and Yoga (Yoga) are meditation training methods popular in China and India respectively. The present invention will respectively use the meditation training data of Tai Chi and Yoga to analyze HRV signals, and explore the law of changing HRV energy distribution through psychological adjustment.

[0060] A kind of HRV signal analysis method of the meditation training based on the extremum energy decomposition method of Tai Chi training subjects, comprising the following steps:

[0061] (1), such as Figure 6 As shown, the ECG signals of Tai Chi training subjects before meditation training at a given time and given sampling frequency were obtained from the meditation database of Physionet. The database contains 8 Tai Chi training subjects (age 26-35, average 29) , and then perform denoising preprocessing on the ECG signal, extract the RRI signal from it, and obtain the RRI signal x(t) before meditation training; the specific method of denoising preprocessing...

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Abstract

Provided is a meditation training HRV signal analysis method based on an extremum energy decomposition method, the HRV signal analysis method comprising: acquiring an ECG signal in meditation training at a given time and a given sampling frequency, and obtaining an RRI signal after denoising; taking the RRI signal x(t) as an original signal, and decomposing the original signal x(t) into n extremum mode function components and a margin; using the n extremum mode function components obtained by decomposing the original signal x(t) to represent components of the original signal at different frequency bands; and determining, according to the n extremum mode function components, whether the RRI signal enters a meditation state. According to the method, an RRI signal is analyzed by using the extremum energy decomposition method, wherein an original signal is decomposed into a plurality of components, namely, extremum component functions; and the energy of each component is calculated, and the energy distribution of the original signal is obtained.

Description

technical field [0001] The invention relates to an electrocardiogram signal analysis, in particular to an HRV signal analysis method for meditation training 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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/0205A61B5/0402A61B5/00
CPCA61B5/0205A61B5/02405A61B5/0245A61B5/7203A61B5/7235A61B5/725A61B5/316A61B5/318
Inventor 姜晓东宁新宝周作建王华曾彭刘果
Owner JIANGSU HUAKANG INFORMATION TECH CO LTD
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