Literature DB >> 19963762

Noninvasive cardiac output estimation using a novel photoplethysmogram index.

L Wang1, Emma Pickwell-Macpherson, Y P Liang, Y T Zhang.   

Abstract

Cardiac output (CO) monitoring is essential for indicating the perfusion status of the human cardiovascular system under different physiological conditions. However, it is currently limited to hospital use due to the need for either skilled operators or big, expensive measurement devices. Therefore, in this paper we devise a new CO indicator which can easily be incorporated into existing wearable devices. To this end, we propose an index, the inflection and harmonic area ratio (IHAR), from standard photoplethysmographic (PPG) signals, which can be used to continuously monitor CO. We evaluate the success of our index by testing on sixteen normotensive subjects before and after bicycle exercise. The results showed a strong intra-subject correlation between IHAR and CO(imp) measured by the bio-impedance method in fifteen subjects (mean r = 0.82, p<0.01). After least squares linear regression, the precision between CO(imp) and CO estimated from IHAR (CO(IHAR)) was 1.40 L/min. The total percentage error of the results was 16.2%, which was well below the clinical acceptance limit of 30%. The results suggest that IHAR is a promising indicator for wearable and noninvasive CO monitoring.

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Year:  2009        PMID: 19963762     DOI: 10.1109/IEMBS.2009.5333091

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  12 in total

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2.  Wrist pulse signal based vascular age calculation using mixed Gaussian model and support vector regression.

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3.  Cuffless Blood Pressure Measurement Using Linear and Nonlinear Optimized Feature Selection.

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4.  Detecting heart failure using wearables: a pilot study.

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5.  New Aging Index Using Signal Features of Both Photoplethysmograms and Acceleration Plethysmograms.

Authors:  Jae Mok Ahn
Journal:  Healthc Inform Res       Date:  2017-01-31

Review 6.  Photoplethysmogram Analysis and Applications: An Integrative Review.

Authors:  Junyung Park; Hyeon Seok Seok; Sang-Su Kim; Hangsik Shin
Journal:  Front Physiol       Date:  2022-03-01       Impact factor: 4.566

Review 7.  On the analysis of fingertip photoplethysmogram signals.

Authors:  Mohamed Elgendi
Journal:  Curr Cardiol Rev       Date:  2012-02

8.  Innovative Multi-Site Photoplethysmography Analysis for Quantifying Pulse Amplitude and Timing Variability Characteristics in Peripheral Arterial Disease.

Authors:  Michael Bentham; Gerard Stansby; John Allen
Journal:  Diseases       Date:  2018-09-17

9.  Motion Artifact Reduction in Wearable Photoplethysmography Based on Multi-Channel Sensors with Multiple Wavelengths.

Authors:  Jongshill Lee; Minseong Kim; Hoon-Ki Park; In Young Kim
Journal:  Sensors (Basel)       Date:  2020-03-09       Impact factor: 3.576

10.  Real-Time Cuffless Continuous Blood Pressure Estimation Using Deep Learning Model.

Authors:  Yung-Hui Li; Latifa Nabila Harfiya; Kartika Purwandari; Yue-Der Lin
Journal:  Sensors (Basel)       Date:  2020-09-30       Impact factor: 3.576

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