Patent Document ID: 9510760
Application ID: 13714058
Patent Flag: 1

Claim One:
1. A novel sphygmomanometer for directly estimating central aortic pulse pressure by a pressure pulse wave oscillation signal of a cuff, comprising: (a) a control means for controlling a pressure of the cuff, which is used to control the proceeding of pressurization, maintenance and decompression in a measured location of the cuff; (b) at least one recording and storing means for recording and storing the pressure pulse wave oscillation signal of the cuff comprising a waveform of the pressure pulse wave oscillation signal of the cuff; and (c) a processing means for analyzing the recorded and stored waveform of the pressure pulse wave oscillation signal of the cuff to obtain values of a plurality of predicting variables, and calculating the central aortic pulse pressure in real time by substituting the values of the plurality of predicting variables into the following equation: 
 a+b*ESP+c*As+d*Ad+e*DBP+f*HR, wherein A. the equation is stored in the at least one storing means, end-systolic pressure (ESP), area under a pressure tracing in systole (As), area under a pressure tracing in diastole (Ad), diastolic blood pressure (DBP) and heart rate (HR) are the plurality of predicting variables, and a is a constant and b, c, d, e and f are variable coefficients, and B. the equation is obtained by the following steps: (i) measuring a plurality of pressure pulse wave oscillation signals in the cuff, one or more brachial systolic blood pressures, and one or more diastolic blood pressures, wherein each pressure pulse wave oscillation signal comprises a waveform of the pressure pulse wave oscillation signal in the cuff; (ii) averaging the waveforms of the measured pressure pulse wave oscillation signals and calibrating an averaged waveform by using the systolic blood pressures and the diastolic blood pressures; (iii) analyzing the calibrated waveform of the pressure pulse wave oscillation signals to obtain a plurality of characteristic signal values serving as the plurality of predicting variables; and (iv) obtaining the constant a and the variable coefficients b, c, d, e, and f by linear regression analysis.