A novel waveform mirroring technique for systolic blood pressure estimation from anacrotic photoplethysmogram

Aws Zuhair Sameen, Rosmina Jaafar, Edmond Zahedi, Gan Kok Beng

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Continuous cuffless Blood Pressure (BP) measurement is an important tool to monitor the health of individuals at risk. In this study, a new method is proposed for Systolic BP (SBP) estimation utilizing Photoplethysmograms (PPG). To this end, toe and carotid PPG were recorded from seventeen subjects aged 20-28 years, whereas their SBP were measured using a standard BP cuff monitor for validation purpose. The proposed method is based on a novel mirroring technique, which allows for an accurate estimation of the Pulse Transit Time (PTT) from the PPG’s rising part (anacrotic) waveform using an ARX System Identification approach. Based on the modified Moens-Korteweg equation, SBP was then calculated based on the estimated PTT values obtained from the ARX model. The estimated PTT was found to be highly correlated to the measured SBP (R2 = 0.98). Comparison of calculated SBP to the measured SBP obtained using standard BP cuff monitor results in a mean error of 3.4%. Given that 95% of the estimated SBP values are accurate in the +/-8 mmHg range, this method seems promising for non-invasive, continuous BP monitoring.

Original languageEnglish
Pages (from-to)3252-3262
Number of pages11
JournalJournal of Engineering Science and Technology
Volume13
Issue number10
Publication statusPublished - 1 Oct 2018

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Blood pressure
Pressure measurement
Identification (control systems)
Health
Monitoring

Keywords

  • Arx model
  • Blood pressure (BP)
  • Linear systems
  • Morphological signal processing
  • Photoplethysmography (PPG)
  • Pulse transit time (PTT)
  • System identification
  • Systolic blood pressure (SBP)

ASJC Scopus subject areas

  • Engineering(all)

Cite this

A novel waveform mirroring technique for systolic blood pressure estimation from anacrotic photoplethysmogram. / Sameen, Aws Zuhair; Jaafar, Rosmina; Zahedi, Edmond; Kok Beng, Gan.

In: Journal of Engineering Science and Technology, Vol. 13, No. 10, 01.10.2018, p. 3252-3262.

Research output: Contribution to journalArticle

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