Self-calibration human-body blood pressure measurement method

Abstract

A self-calibrating human blood pressure measurement method provided by the present invention comprises the following steps: collecting human blood pressure signals, and performing ADC sampling on the collected human blood pressure signals; performing system error elimination processing on the ADC sampling data; sampling according to the elimination of system errors The pulse wave envelope is formed by data fitting, and the average blood pressure of the human body and the inflection points on both sides of the peak of the pulse wave envelope are determined through the pulse wave envelope; The proportional coefficient between the amplitude and the amplitude of the pulse wave envelope corresponding to the average blood pressure of the human body; judge the position of the inflection point on both sides of the peak of the pulse wave envelope line, and according to the position of the inflection point and the pulse wave envelope corresponding to the systolic blood pressure and the diastolic blood pressure of the human body The proportional relationship between the amplitude of the curve and the amplitude of the pulse wave envelope corresponding to the average blood pressure of the human body determines the systolic blood pressure and the diastolic blood pressure of the human body; it can effectively eliminate the systematic error in the blood pressure sampling data; it reduces the difficulty of hardware design and the complexity of operation Degree, reduce product cost.

Description

technical field [0001] The invention relates to a measuring method, in particular to a self-calibrating human blood pressure measuring method. Background technique [0002] At present, in the field of medical and health care, it has become a common way to measure human blood pressure with electronic blood pressure monitoring equipment. However, devices such as operational amplifiers in electronic equipment often have problems such as offset voltage and zero point drift, which lead to systematic deviations in the use of the equipment, and the data collected by blood pressure monitoring equipment often contain systematic deviations. The measurement accuracy of blood pressure monitoring equipment has a great impact, so it is necessary to calibrate the equipment during the design or use of the equipment, such as using mechanical zero adjustment to calibrate the equipment or designing the signal acquisition circuit as a hardware differential circuit. This hardware calibration me...

AI Technical Summary

Problems solved by technology

However, devices such as operational amplifiers in electronic equipment often have problems such as offset voltage and zero point drift, which lead to systematic deviations in the use of the equipment, and the data collected by blood pressure monitoring equipment often contain systematic deviations. The measurement accuracy of blood pressure monitoring equipment has a great impact, so it is necessary to perform hardware calibration on the equipment during the design or use of the equipment, such as using mechanical zero adjustment to calibrate the equipment or designing the signal acquisition circuit as a hardware differential circuit

This hardware calibration method can eliminate system deviation, but it often brings disadvantages such as increased equipment operation, design complexity, and increased product cost.

[0003] In addition, electronic blood pressure monitoring equipment still has shortcomings in terms of accuracy, stability, and individual variability.

Among the existing blood pressure judging methods, some blood pressure judging methods, such as the amplitude coefficient method, determine the human blood pressure based on a fixed proportional coefficient obtained from a large amount of statistical data. This method can ensure the stability of the blood pressure detection results, but because the proportional coefficient is based on The result of a large amount of data statistics, and the proportional coefficient is fixed, so it is difficult to meet the needs of individual differences; such as the waveform feature method, which relies more on the characteristics of individual pulse wave waveforms to determine the blood pressure of the human body, has good individual adaptability, but because the method does not affect the obtained The accuracy of individual blood pressure characteristics is highly dependent, and it is difficult to accurately obtain individual pulse wave characteristics, so it is difficult to meet the requirements of blood pressure measurement stability

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