Evaluation System of Peripheral Artery Vascular Elasticity Based on Double Triangle Blood Flow Model

Abstract

The invention provides a peripheral arterial blood vessel elasticity evaluation system based on a double triangle blood flow model, and relates to the technical field of medical and health electronics. The present invention first collects peripheral arterial pulse waves, and removes noises such as power frequency interference and baseline drift from the pulse waves. The feature points were extracted from the filtered signal, and the blood flow velocity waveform was fitted using the double triangle blood flow model according to the position of the feature points, and the pulse waveform was decomposed based on the double triangle blood flow velocity waveform to obtain the forward wave and the backward wave. Finally, according to the extracted characteristic points of the forward wave and backward wave, the backward wave enhancement index RM and reflection index RI reflecting the elasticity of peripheral arterial vessels are calculated. The present invention accurately decomposes the peripheral arterial pulse wave according to the fitted blood flow waveform, calculates relevant parameters based on the decomposed result, integrates the characteristics of the forward wave and the backward wave, and realizes the evaluation of the vascular sclerosis degree of the peripheral artery and the function of the cardiovascular system Evaluation makes it easier to detect cardiovascular function.

Description

technical field [0001] The invention relates to the technical field of medical and health electronics, in particular to a peripheral arterial vessel elasticity evaluation system based on a double triangle blood flow model. Background technique [0002] The pulse wave can reflect periodic vascular pressure changes, and the diastolic index and systolic index can be analyzed through the peripheral arterial pulse wave waveform, so as to determine the cardiovascular risk index and vascular elasticity index. [0003] The invention patent with the patent number 201010558798.3 extracts the characteristic points of the pulse wave through wavelet transform, and realizes the detection of vascular stiffness through the pulse wave propagation velocity, but the feature points used are directly extracted from the pulse wave, which cannot realize the accurate evaluation of vascular stiffness ; The invention patent with the patent number 201510955386.6 proposes a blood volume pulse wave coll...

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Problems solved by technology

[0003] The invention patent with the patent number 201010558798.3 extracts the characteristic points of the pulse wave through wavelet transform, and realizes the detection of vascular stiffness through the pulse wave propagation velocity, but the feature points used are directly extracted from the pulse wave, which cannot realize the accurate evaluation of vascular stiffness ; The invention patent with the patent number 201510955386.6 proposes a blood volume pulse wave collection through the left and right fingertips to realize the calculation of the vascular endothelial function index, which is not convenient to measure only by blocking the brachial artery of the arm; The invention patent No. 201811213852.3 proposes a human pulse detection method based on support vector machine, which measures the pulse wave and extracts features through a portable wrist-worn pulse device, and classifies the pulse wave according to the existing model to evaluate the sclerosis status, but the invention Only the time-frequency domain features are extracted, and there is no in-depth feature extraction of pulse wave decomposition; the pulse wave propagates in the human body along the arterial tree, and the patent number is 201710369140. Obtain the propagation time of the blood flow from the central artery to the peripheral artery to realize the measurement of the central artery blood pressure, but this method lacks the step of decomposing the peripheral artery to obtain the forward wave, so it is difficult to accurately calculate the propagation time

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