International Science and Technology Journal

Heart rate signal (HRS) fluctuation analysis is a crucial process to measure the instability that occurs during the heart palpitations. In this paper, the cross-correlation of two different HRS measured using DFRobot heart rate sensor simultaneously with the measurement of blood pressure by using AllHeart standard blood pressure cuff gauge. This procedure was done to two people with different ages, one with a normal blood pressure (20 years old) and the other with abnormal blood pressure (60 years old). A data acquisition card NI(PCI-MIO-16E-1) was used to acquire the Heart Rate Signal (HRS) data, and analyzed by LabVIEW software National Instruments. The difference between HRS measurements for both people, the 60 years old person with an abnormal blood pressure and the 20 years old person with normal blood pressure at all stages (before, during and after blood pressure measurement, the measurement time depended on the time of measurement of each person's blood pressure, i.e. about a minute) indicates that the cross-correlation were relatively weak during the post-measurement stage. This result can be due to the disorder of heart palpitations immediately after the blood pressure measurement process compared to the cross-correlation before the blood pressure measurement process (at relax stage) which was relatively strong. The values of fluctuation of HRS in terms of RMS were calculated for all stages, which gives a good indicator for the heart palpitations of each stage measurement for two people