Meditation training HRV signal analysis method 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: 2019-12-13
JIANGSU HUAKANG INFORMATION TECH CO LTD
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But the effect of meditation training on HRV signaling

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  • Meditation training HRV signal analysis method based on extreme value energy decomposition method
  • Meditation training HRV signal analysis method based on extreme value energy decomposition method
  • Meditation training HRV signal analysis method 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 carry out HRV signal analysis method, and explore the law that psychological adjustment changes HRV energy distribution.

[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 Image 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 prep...

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Abstract

The invention discloses a meditation training HRV signal analysis method based on an extreme value energy decomposition method, wherein the method comprises the steps: obtaining 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, decomposing the original signal x(t) inton extreme value modal function components and a margin, representing the n extreme value modal function components obtained by decomposing the original signal x(t) as components of the original signalin different frequency bands, and judging whether the RRI signal enters a meditation state or not according to the n extreme value modal function components. The RRI signal is analyzed by adopting the extreme value energy decomposition method, the original signal is decomposed into a plurality of components, namely extreme value component functions, energy of each component is calculated, and energy distribution of each component 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 time variation between consecutive cardiac cycles, to be precise, it should be the variation 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 be used as a non-...

Claims

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Application Information

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Patent Type & Authority Applications(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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