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Photo plethysmograph multi-parameter analyzing method of short autonomic nerve state

A technology of photoplethysmography and autonomic nerves, applied in the field of biomedical engineering

Active Publication Date: 2015-01-28
XI AN JIAOTONG UNIV
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  • Abstract
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Problems solved by technology

In other words, the existing research methods based only on heart rate variability still have great limitations for the analysis of extremely short-term autonomic nervous states.

Method used

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  • Photo plethysmograph multi-parameter analyzing method of short autonomic nerve state
  • Photo plethysmograph multi-parameter analyzing method of short autonomic nerve state
  • Photo plethysmograph multi-parameter analyzing method of short autonomic nerve state

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Embodiment Construction

[0056] The present invention will be further described in detail below in conjunction with specific embodiments, which are explanations of the present invention rather than limitations.

[0057] see figure 2 , the photoplethysmographic multi-parameter analysis method of extremely short-term autonomic nervous state of the present invention, comprises the following steps:

[0058] Step 1. Collect photoplethysmographic digital signals that reflect changes in blood volume in microvascular beds on the skin surface of fingers, wrists or foreheads through projection or reflection of red light or near-infrared light. The signals are unfiltered and have a sampling frequency of 500Hz and above original photoplethysmogram signal;

[0059] see image 3 , at 500Hz, 30 seconds photoplethysmographic original sampling waveform.

[0060] Step 2: Preprocess the photoplethysmographic wave signal collected in step 1, remove the signal baseline, and reduce the phase-frequency distortion as muc...

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Abstract

The invention discloses a photo plethysmograph multi-parameter analyzing method of a short autonomic nerve state and relates to a digital signal processing method. The method comprises the following steps of collecting a photo plethysmograph digital signal of the blood volume change of microvessel beds in the skin surface layer of a tested part; conducting the baseline removing treatment on the signal and detecting the peak value point and the valley value point of each beat of the plethysmograph; calculating and obtaining the parameters of interval, range and baseline; sectioning the photo plethysmograph and the three parameters within the time period smaller than one minute; respectively conducting the normalization treatment on the interval, the range and the baseline in the section and obtaining three Poincare plot quantitative indicators; respectively obtaining a first-order differential signal to the interval, the range and the baseline of the photo plethysmograph and calculating the relative coefficient of any two of the three parameters; analyzing the quantitative indicators and conducting the quantitative assessment of the autonomic nerve state through the value change. The photo plethysmograph multi-parameter analyzing method of the short autonomic nerve state can be possibly applied in clinical autonomic nerve state tracking analysis and daily household health monitoring.

Description

technical field [0001] The invention belongs to the technical field of biomedical engineering and relates to a digital signal processing method, in particular to a photoelectric volume wave multi-parameter analysis method of an extremely short-term autonomic nervous state. Background technique [0002] When a person is in a pathological state or is exposed to external stimuli, such as before and after sleep apnea, after strenuous exercise or acute drug reactions, the cardiovascular regulatory system tends to produce a rapid response. Tracking and detecting these dynamic changes in cardiovascular regulation is of great significance for clinical monitoring and pathophysiological research. [0003] At present, heart rate variability analysis is widely used clinically as an analysis method for the state of cardiac autonomic nervous system. Heart rate variability analysis evaluates the autonomic nervous function by calculating and comparing the time and frequency domain indicato...

Claims

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Application Information

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IPC IPC(8): A61B5/00A61B5/02
CPCA61B5/0059
Inventor 陈翔李津魏建新王珏刘宁赵宗亚
Owner XI AN JIAOTONG UNIV
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