Estimation of Central Blood Pressure from Non-Invasive Diametric Pulse Volume Signals: Rigorous In-Human Evaluation

Zahra Ghasemi1, Jongchan Lee, Chang-Sei Kim2, Hao-Min Cheng3, Shih-Hsien Sung3, Chen-Huan Chen4, Ramakrishna Mukkamala5, Jin-Oh Hahn6

  • 1University of Maryland
  • 2Chonnam National University
  • 3Taipei Veterans General Hospital
  • 4National Yang-Ming University
  • 5Michigan State University
  • 6University of Maryland, College Park

Details

18:15 - 20:15 | Mon 5 Mar | Caribbean ABC | MoPO.19

Session: Poster Session # 1 and BSN Innovative Health Technology Demonstrations

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Abstract

This paper presents a novel model based sensor fusion approach to estimate central blood pressure from non-invasive pulse volume waveform measurements at the body's diametric sites. The validity of the approach is evaluated using experimental data collected from 164 subjects.