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Analyzing method for heart rate variability based on linear amplitude spectrum

A technology of heart rate variability and analysis method, applied in the field of analysis of heart rate variability, to achieve a reasonable design effect

Inactive Publication Date: 2019-02-15
INST OF BIOMEDICAL ENG CHINESE ACAD OF MEDICAL SCI
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Problems solved by technology

[0003] At present, in the power spectrum analysis of heart rate variability, there are many controversies about the sympathetic-parasympathetic balance parameters LF and HF as indicators of autonomic nervous activity, especially in the low-frequency band LF, which is generally considered to reflect the activity of cardiac sympathetic nerves. indicators, but many people questioned

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  • Analyzing method for heart rate variability based on linear amplitude spectrum
  • Analyzing method for heart rate variability based on linear amplitude spectrum
  • Analyzing method for heart rate variability based on linear amplitude spectrum

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Embodiment 1

[0058] In this embodiment, the RR interval time series x[n] of 512 data points is simulated by Matlab software, and the sampling frequency is 2Hz, and x[n]=Σ i a i sin[2πnf i ], i=VLF, LF, HF; where f VLF = 0.02Hz, f LF = 0.09Hz, f HF = 0.20Hz; a VLF = 50ms, a LF = 40ms and a HF = 30ms.

[0059] The HRV analysis method of the linear amplitude spectrum is carried out according to the following steps:

[0060] Step S1: Since the simulated HRV sequence is a uniform sequence with a sampling frequency of 2 Hz, resampling is not required;

[0061] Step S2: performing discrete-time Fourier transform DFT(x(n)) on the S1 time interval sequence;

[0062] Step S3: Calculate and obtain the linear amplitude spectrum according to the formula LAS(k)=|DFT(x(n))| / (N / 2), the linear amplitude spectrum is as follows figure 1 shown;

[0063] Step S4: Based on the linear amplitude spectrum LAS(k), sum the extremely low frequency VLF, low frequency LF, and high frequency HF, and calculate f...

Embodiment 2

[0066] In this embodiment, a segment of human HRV signal analysis from a resting state is performed, and the specific steps are as follows:

[0067] Step S1: Resampling the target HRV signal at a frequency of 2 Hz to obtain a uniform time interval sequence x(n) (n=0, 1, ..., N-1), where N is the length of the signal sequence;

[0068] Step S2: Perform discrete-time Fourier transform DFT(x(n)) on the S1 time interval sequence.

[0069] Step S3: Calculate and obtain the linear amplitude spectrum according to the formula LAS(k)=|DFT(x(n))| / (N / 2).

[0070] Step S4: Based on the linear amplitude spectrum LAS(k), integrate the extremely low frequency VLF, low frequency LF, and high frequency HF to calculate five frequency domain parameters: extremely low frequency amplitude VLF, low frequency amplitude LF, high frequency amplitude Value HF, total amplitude TP and R.

[0071] In order to compare with the power spectrum and show the superiority of the linear amplitude spectrum, the ...

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Abstract

The invention relates to an analyzing method for heart rate variability based on a linear amplitude spectrum. The method comprises the following steps that a target heart rate variability signal is resampled, and a uniform time interval sequence is obtained; discrete time Fourier transform is conducted on the uniform time interval sequence; according to the discrete time Fourier transform, the linear amplitude spectrum is calculated and obtained; according to the linear amplitude spectrum, data points in an extreme low-frequency stage, a low-frequency stage, a high-frequency stage and a totalfrequency stage are summed, and five analyzed parameters of the heart rate variability frequency-domain, such as an extreme low-frequency amplitude parameter, a low-frequency amplitude parameter, a high-frequency amplitude parameter, a total amplitude parameter and a balance specific parameter are calculated. The analyzing method is reasonable in design, a time domain signal is transformed into the frequency domain, and through linear amplitude spectrum transform, the frequency domain amplitude of the signal reflects the real amplitude in the signal time domain; the frequency domain characteristic is used for analyzing of physiological signals of HRV and the like, and the significant physiological significance is achieved on analyzing frequency and intensity of regulating HRV by the sympathia-parasympathetic nerve through the calculated frequency domain parameters.

Description

technical field [0001] The invention belongs to the technical field of human body signal processing, in particular to a heart rate variability analysis method based on a linear amplitude spectrum. Background technique [0002] Heart rate variability (HRV) refers to the change in the difference between heartbeat cycles, which contains information about the regulation of the cardiovascular system by autonomic and humoral factors. At present, when analyzing heart rate variability, time-domain analysis and frequency-domain analysis are mainly used to obtain characteristic parameters reflecting the shape of heart rate variability. In frequency-domain analysis, power spectrum estimation is the most commonly used method for heart rate variability analysis. means. [0003] At present, in the power spectrum analysis of heart rate variability, there are many controversies about the sympathetic-parasympathetic balance parameters LF and HF as indicators of autonomic nervous activity, e...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/024
CPCA61B5/02405A61B5/7257
Inventor 李迎新刘伟超申岱李婷
Owner INST OF BIOMEDICAL ENG CHINESE ACAD OF MEDICAL SCI
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