| A new ensemble averaging technique in impedance cardiography for estimation of stroke volume during treadmill exercise. | |
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MedLine Citation:
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PMID: 1419917 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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In this study, a new ensemble average technique is developed to measure cardiac output during treadmill exercise. Each dz/dt peak is used as a starting point for ensemble averaging, instead of the conventionally used R point of the ECG, in order to prevent the peak dz/dt waveform (C point) from smoothing, which results in increased dz/dtmax. The R-Z interval from the R point of the ECG to the peak dz/dt varies for each heart beat especially during strenuous exercise. Signal-to-noise ratios of five subjects obtained with the new technique are 0-32.6% higher than those obtained with the conventional technique at rest and during four levels of treadmill exercise. Power spectral densities of the averaged dz/dt waveforms by the peak dz/dt and R point references are also analyzed. Stroke volumes of the five subjects averaged by the peak dz/dt are 0-23.5% higher than those obtained by the R point at rest and during four levels of exercise. |
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Authors:
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D W Kim; C G Song; M H Lee |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Frontiers of medical and biological engineering : the international journal of the Japan Society of Medical Electronics and Biological Engineering Volume: 4 ISSN: 0921-3775 ISO Abbreviation: Front Med Biol Eng Publication Date: 1992 |
Date Detail:
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Created Date: 1992-12-01 Completed Date: 1992-12-01 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 9011464 Medline TA: Front Med Biol Eng Country: NETHERLANDS |
Other Details:
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Languages: eng Pagination: 179-88 Citation Subset: IM |
Affiliation:
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Department of Medical Engineering, Yonsei University, Seoul, Korea. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Cardiography, Impedance
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methods* Electrocardiography Exercise / physiology* Fourier Analysis Humans Reference Values Signal Processing, Computer-Assisted* Software Design Stroke Volume* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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