Literature DB >> 7868150

An advanced signal processing technique for impedance cardiography.

X Wang1, H H Sun, J M Van de Water.   

Abstract

A new design using the latest technique in signal processing, the time-frequency analysis method, was developed to process impedance cardiography signals. This technique, when used to determine the relevant calculation parameters, was found to be more accurate than conventional methods. It was shown to be advantageous in reducing ventilation artifacts and motion noise, resulting in greater accuracy. Its cardiac output values had a much better correlation coefficient when compared in the clinical setting to the standard thermodilution technique than did the values from conventional impedance cardiography devices.

Mesh:

Year:  1995        PMID: 7868150     DOI: 10.1109/10.341836

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  6 in total

1.  Evaluation of a new advanced thoracic bioimpedance device for estimation of cardiac output.

Authors:  D G Haryadi; D R Westenskow; L A Critchley; S I Schookin; V G Zubenko; K R Beliaev; A A Morozov
Journal:  J Clin Monit Comput       Date:  1999-02       Impact factor: 2.502

2.  Automatic analysis of pre-ejection period during sleep using impedance cardiogram.

Authors:  Mohamad Forouzanfar; Fiona C Baker; Ian M Colrain; Aimée Goldstone; Massimiliano de Zambotti
Journal:  Psychophysiology       Date:  2019-03-05       Impact factor: 4.016

3.  Toward a better noninvasive assessment of preejection period: A novel automatic algorithm for B-point detection and correction on thoracic impedance cardiogram.

Authors:  Mohamad Forouzanfar; Fiona C Baker; Massimiliano de Zambotti; Corey McCall; Laurent Giovangrandi; Gregory T A Kovacs
Journal:  Psychophysiology       Date:  2018-03-07       Impact factor: 4.016

Review 4.  Measuring impedance in congestive heart failure: current options and clinical applications.

Authors:  W H Wilson Tang; Wilson Tong
Journal:  Am Heart J       Date:  2008-12-16       Impact factor: 4.749

5.  An open-source automated algorithm for removal of noisy beats for accurate impedance cardiogram analysis.

Authors:  Shafa-At Ali Sheikh; Amit Shah; Oleksiy Levantsevych; Majd Soudan; Jamil Alkhalaf; Ali Bahrami Rad; Omer T Inan; Gari D Clifford
Journal:  Physiol Meas       Date:  2020-08-11       Impact factor: 2.688

6.  Efficient reference-free adaptive artifact cancellers for impedance cardiography based remote health care monitoring systems.

Authors:  Madhavi Mallam; K Chandra Bhutan Rao
Journal:  Springerplus       Date:  2016-06-17
  6 in total

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