title: Assessment of Stroke Volume From Brachial Blood Pressure Using Arterial Characteristics.
abstract: OBJECTIVE
  The goal of this study is to present a modified pulse contour method to estimate the stroke volume (SV) based on an oscillometric sphygmomanometer.
  
  
  METHODS
  The pulse contour was extracted from the pulse signal of the cuff pressure. The characteristics of the brachial artery, as well as the compliance ( C(artery)) and time constant τ of the Windkessel model, could be determined and used to estimate the SV once the apparatus finished the blood pressure measurement.
  
  
  RESULTS
  Assessments of the SV by echocardiography and our method were carried out in 55 subjects. The change in the brachial arterial volume obtained by our method was significantly correlated with that of the two-dimensional ultrasound method (r(v) = 0.871). The estimated SV values by our method for male and female groups, SV(estimate), were also significantly correlated with the echocardiography results, SV(ref) (r(male) = 0.680, r(female) = 0.706 ). The Bland-Altman plot showed agreement between SV(ref) and SV(estimate), with all data points contained within the limits of agreement (± 2 SD). The mean difference and standard deviation (mean ± SD) were 0.101 ± 14.880 ml and 0.650 ± 11.990 ml for the male and female groups, respectively.
  
  
  CONCLUSIONS
  The blood pressure, SV, and cardiac output were measured simultaneously, making our method well suited for home use.
  
  
  CONCLUSIONS
  Our method was embedded in an oscillometric sphygmomanometer.
authors: Shing-Hong
authors: SH
authors: Liu
authors: Tzu-Hsin
authors: TH
authors: Lin
authors: Da-Chuan
authors: DC
authors: Cheng
authors: Jia-Jung
authors: JJ
authors: Wang
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001794:Blood Pressure / Q000502:physiology*; D001916:Brachial Artery / Q000502:physiology*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009991:Oscillometry / Q000379:methods*; D012815:Signal Processing, Computer-Assisted; D013318:Stroke Volume / Q000502:physiology*