Heart rate variability analyzing method based on amplitude spectrum and instruments

Abstract

The invention discloses a heart rate variability analyzing method based on an amplitude spectrum and instruments. The method comprises the following steps that a human body autonomic nervous function monitor is installed, after amplification, filtering and analog-digital conversion are carried out on electrocardio signals collected by an electrocardio electrode slice, an RR interval time sequence is built, the QRS waveform of the electrocardio signals has the features of large amplitude, short time limit, steep waveform and easy recognition, the key for obtaining HRV signals is that the R wave of an electrocardiogram is accurately calibrated, and according to the morphological characteristic of an R wave picture, the wave crest of the R wave is the maximum positive value in a single signal period; the instruments included in the method comprise a preamplifier module used for amplifying the electrocardio signals, a filter module, an A / D conversion module, an R crest positioning module, a signal pseudo crest pseudo differential eliminating module, an RR sequence forming module, an interpolation module and a display module which are sequentially connected, the preamplifier module is connected with the electrocardio electrode slice through a guide line, and the electrode slice is arranged on the surface of the human body skin and used for collecting the electrocardio signals of the human body.

Description

technical field [0001] The present invention relates to a heart rate variability analysis method and an autonomic nervous activity monitoring instrument based on the method, in particular to a frequency-domain analysis method of heart rate variability based on amplitude spectrum, and according to this method to realize the detection of human autonomic nervous activity Continuous, real-time, non-invasive monitoring. Background technique [0002] The main function of the autonomic nervous system is to maintain the function of human organs and the stability of the internal environment, so that the functional activities of organs and tissues are in the most suitable state. Because the organs controlled by it involve a wide range of functions, the evaluation of autonomic nerve function is of great significance for understanding the function of human organs. The evaluation of autonomic nervous system function by heart rate variability (heart rate variability, HRV) analysis has be...

AI Technical Summary

Problems solved by technology

However, the current conventional frequency domain analysis method with power spectral density as a parameter has the following problems in estimating the characteristics of HRV signals: the data are highly discrete and have a skewed distribution, and the analysis results generally need to be logarithmically transformed or normalized After the statistical test

At present, there is still a lack of real-time indicators that can accurately reflect characteristics in clinical practice, thus limiting its application in the field of monitoring

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