Measurement Method And Implementation Of Non-contact Human Arterial Pulse Based On Millimeter-Wave Sensing

Arterial pulse is the periodic motion of the wrist in response to the movement of the cardiovascular system of the human body.The human pulse rate can reflect some physiological and pathological information of the human body,and is used to judge the health state of human organs.Human Heart Rate Variability(HRV)can be reflected through the change of pulse interval.The Reflected Wave Transmission Time(RWTT)extracted from pulse wave has a strong correlation with human blood pressure value,and can be used to calculate blood pressure.Traditional pulse measurement methods are limited to direct skin contact measurement.Therefore,it is necessary to develop an accurate and practical non-contact arterial pulse measuring tool.We focus on the advantages of millimeter wave radar in fine-grained perception and vital signs detection,develop a millimeter wave noncontact arterial pulse measurement system.The system consists of the millimeter wave signal acquisition module and the signal processing module.In the millimeter wave acquisition module,we design a signal buffer pool algorithm,solving the problem of difficult and inconvenient acquisition of pulse wave signals.To address signal processing issues,we design an algorithm in the signal processing module to extract and filter pulse waves from millimeter-wave radar signals.We construct a onedimensional CNN neural network to optimize the pulse wave signal.We also investigate and implement filtering and noise reduction and cycle division algorithms,which can calculate the time of each pulse cycle,output the IBI(Inter-Beat Intervals)values,calculate heart rate variabilityrelated indicators,and calculate pulse rate and RWTT values in the pulse cycle.We verify the effectiveness of our methods through multiple experiments,with a pulse rate(heart rate)measurement error of less than 0.2 bpm,a pulse cycle interval measurement accuracy of 98.14%,an RMSSD measurement error rate of less than 13ms for heart rate variability indicators,and an average measurement accuracy of 95.4%for RWTT.The method of non-contact arterial pulse measurement based on millimeter wave radar developed in this thesis has application value in smart healthcare and other fields.