Acquisition method for auxiliary detection of midrib wave pressure amplitude values in cardiovascular diseases and device thereof
An auxiliary detection and acquisition method technology, applied in the direction of cardiac catheterization, catheterization, etc., can solve problems such as difficult to predict blood pressure and cardiovascular diseases, and achieve the effect of reducing risks, reducing manual errors, and realizing automation
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Embodiment 1
[0036] A measurement to aid in the detection of cardiovascular disease, see Figure 1 to Figure 4 , including:
[0037] (1) Use the sphygmomanometer to measure the vascular pulse wave amplitude of a single limb of the tester, and obtain the pulse wave spectrum of high and low blood pressure values and heart rate values through the sphygmomanometer;
[0038] (2) The spectrum of cardiovascular diseases is generated through causal calculation of the whole pulse wave;
[0039] (3) After analysis and comparison, it is assisted to determine whether the tester suffers from cardiovascular disease.
[0040] The causal calculation in step (2) is to use the blood pressure measurement to obtain the heartbeat time point, calculate the time distance of each point separately, and obtain the heartbeat frequency after taking the reciprocal value. When there are many heartbeat frequencies and arrhythmias, the sensor Fourier Transform is used to obtain the high-frequency expression value o...
Embodiment 2
[0070] Embodiment 2: The principle of this embodiment is the same as that of Embodiment 1. The specific difference is that when the calculation of the causal calculation is constructed on the cloud server 3, that is, when the second microchip control unit 13 analyzes the pulsation in the range of high and low blood pressure values Waveform, and data conversion [such as conversion from analog to digital, and other necessary data conversion], and after generating the symptom spectrum, the pulse waveform, data and data analyzed by the second microchip control unit 13 are transmitted via the wireless transmission of the sphygmomanometer. The symptom spectrum is transmitted to the examiner's mobile device 2 app; after that, the examiner can upload the pulse waveform, data and symptom spectrum to the cloud server 3 through the mobile device 2, and the calculation is performed by the causal calculation built on the cloud server 3 (and other The definition of calculus is the same as ab...
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