Non-invasive multi-segment peripheral artery blood vessel elastic function detection method and instrument thereof

Abstract

The invention relates to a non-invasive multi-segment peripheral artery blood vessel elastic function detection method and an instrument thereof. The method is characterized in that an I-th lead electrocardiogram and multi-segment peripheral artery blood vessel photoelectric volume pulse waves are synchronously collected, the multi-segment pulse wave conduction speed (PWV) is calculated and analyzed, and the peripheral artery blood vessel elastic function is evaluated. The method comprises the following steps: A, detecting an I-th lead electrocardiogram waveform by adopting an electrocardiogram information acquisition module of an instrument; B, detecting the waveform of the peripheral multi-section pulse wave by adopting a pulse wave acquisition module of the instrument; and C, calculating and analyzing pulse wave conduction velocity (PWV) parameters by adopting a pulse wave velocity measurement module of the instrument. The detection instrument comprises an acquisition box module, anelectrocardio lead wire, a plurality of photoelectric volume pulse wave sensors and a computer (PC). The vascular elasticity function measurement with the electrocardiosignal as the pulse wave starting point and the multi-segment pulse wave as the terminal point is achieved, and the measurement accuracy and convenience are improved.

Description

technical field [0001] The invention belongs to the technical field of non-invasive medical detection, in particular to a detection system using multi-segment pulse wave velocity as the evaluation of the elastic function of peripheral arteries. Background technique [0002] Peripheral Arterial Disease (PAD) refers to the stenosis, occlusion or tumor-like expansion of the aorta and its branches other than the coronary arteries of the heart and cerebral arteries, and its main cause is peripheral atherosclerosis. Peripheral arterial atherosclerosis is a systemic disease that often involves peripheral arteries including arteries of the upper and lower extremities. Studies have shown that the incidence of PAD is high and it is widely prevalent in elderly high-risk patients; PAD is a powerful predictor of death from myocardial infarction, coronary heart disease, stroke and other vascular diseases, and is equivalent to coronary heart disease; PAD causes severe The disability rate ...

AI Technical Summary

Problems solved by technology

Because the conduction direction from the heart to the carotid artery or the upper brachial artery is opposite to the conduction direction from the heart to the ankle, the measurement of the above-mentioned known pulse wave velocity takes the carotid artery pulse wave or the upper brachial artery pulse wave as the initial point of the pulse wave, Measurements that do not reflect true pulse wave velocity

[0006] Based on the pressure sensor to detect the pulse wave velocity, the premise of the measurement is to accurately find the pulse point of the body surface pulse wave, so the operation is inconvenient

Based on the blood pressure cuff to detect the pulse wave velocity, because it needs to last for about 1 minute, the blood pressure cuff of the extremities is pressurized and compressed to compress the arteries of the extremities. Measured under abnormal physiological conditions, it will eventually affect the measurement of real pulse wave velocity

[0007] The above known pulse wave conduction detection methods mainly measure cervical-femoral pulse wave velocity (CF-PWV) and brachial-ankle pulse wave velocity (BA-PWV) based on blood pressure cuff measurement. The arterial elasticity function of the lower limbs, but not the determination of the arterial elasticity function of the peripheral blood vessels of the human upper limbs, left and right carotid arteries, etc.

Images