title: Application of the N-point moving average method for brachial pressure waveform-derived estimation of central aortic systolic pressure.
abstract: The N-point moving average (NPMA) is a mathematical low-pass filter that can smooth peaked noninvasively acquired radial pressure waveforms to estimate central aortic systolic pressure using a common denominator of N/4 (where N=the acquisition sampling frequency). The present study investigated whether the NPMA method can be applied to brachial pressure waveforms. In the derivation group, simultaneously recorded invasive high-fidelity brachial and central aortic pressure waveforms from 40 subjects were analyzed to identify the best common denominator. In the validation group, the NPMA method with the obtained common denominator was applied on noninvasive brachial pressure waveforms of 100 subjects. Validity was tested by comparing the noninvasive with the simultaneously recorded invasive central aortic systolic pressure. Noninvasive brachial pressure waveforms were calibrated to the cuff systolic and diastolic blood pressures. In the derivation study, an optimal denominator of N/6 was identified for NPMA to derive central aortic systolic pressure. The mean difference between the invasively/noninvasively estimated (N/6) and invasively measured central aortic systolic pressure was 0.1±3.5 and -0.6±7.6 mm Hg in the derivation and validation study, respectively. It satisfied the Association for the Advancement of Medical Instrumentation standard of 5±8 mm Hg. In conclusion, this method for estimating central aortic systolic pressure using either invasive or noninvasive brachial pressure waves requires a common denominator of N/6. By integrating the NPMA method into the ordinary oscillometric blood pressure determining process, convenient noninvasive central aortic systolic pressure values could be obtained with acceptable accuracy.
authors.affiliation: Department of Medical Research and Education, Taipei Veterans General Hospital, No. 201, Sec. 2, Shih-Pai Rd, Taipei, Taiwan. chench@vghtpe.gov.tw.
authors.forename: Yuan-Ta
authors.initials: YT
authors.lastname: Shih
authors.forename: Hao-Min
authors.initials: HM
authors.lastname: Cheng
authors.forename: Shih-Hsien
authors.initials: SH
authors.lastname: Sung
authors.forename: Wei-Chih
authors.initials: WC
authors.lastname: Hu
authors.forename: Chen-Huan
authors.initials: CH
authors.lastname: Chen
mesh_terms: D000368:Aged; D001011:Aorta / Q000502:physiology*; D001794:Blood Pressure / Q000502:physiology*; D001795:Blood Pressure Determination / Q000379:methods*; D015924:Blood Pressure Monitors; D001916:Brachial Artery / Q000502:physiology*; D003971:Diastole / Q000502:physiology; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D008962:Models, Theoretical; D009991:Oscillometry; D011379:Prognosis; D063177:Pulse Wave Analysis / Q000379:methods*; D015203:Reproducibility of Results; D013599:Systole / Q000502:physiology
keywords: arterial pressure; blood pressure monitoring; mathematical computing