Smart blood pressure holter

Development of Blood Pressure Measurement Device Using The Curve Fitting Method

“…The table also includes the mean and standard deviation of the difference between the data measured by the sphygmomanometer and the developed prototype. The prediction accuracy (PA) was calculated by equation (9). The mean (MD) and standard deviation (SD) of the difference were calculated by equations (10) and (11), respectively.…”

“…From the point of view of male, female and all subjects, it can be seen from the figure that the higher prediction accuracy is obtained by using the second-order polynomial for both SBP and DBP values. The prediction accuracy of the curve fitting method proposed for blood pressure estimation was compared with that of the simple hill climbing algorithm [9]. A test set of 10 individuals was used for comparison.…”

“…When the air in the cuff is gradually drained, the blood in the artery begins to flow again. This point is the moment when the Korotkoff sounds are first heard and small oscillations are observed at the cuff pressure due to heartbeats [9]. In the first stage, the amplitude of the oscillations increases when the air in the cuff is discharged.…”

“…This point is the moment when the Korotkoff sounds begin to disappear. The SBP corresponds to the cuff pressure at the point where the Korotkoff sounds are first heard and the DBP corresponds to the cuff pressure at the point where the Korotkoff sounds begin to disappear [9]. The cuff pressure where the oscillations with the highest amplitude during the air release from the cuff is expressed as the MBP [14].…”

“…A prediction accuracy of 95.14% was observed for heart rate. In another study, a wireless blood pressure holter was developed by İlhan [9]. The simple hill climbing algorithm was used for blood pressure estimation.…”