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Decomposition of the electrical bio-impedance signal - Andrei Krivo ei
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Andrei Krivo ei:
Decomposition of the electrical bio-impedance signal - nouveau livre

ISBN: 9783838372228

The developed method for adaptive decomposition of the thoracic electrical bio-impedance (EBI) into its main components - cardiac and respiratory ones - is described in the book. The method allows decompose the EBI on-line in non-stationary conditions. Delay of the resulting signals with respect to the input is only two seconds. Moreover, the proposed method allows decompose the EBI signal into its components also in the case when the harmonic spectra of these components are partially overlapped. The method is based on models of the cardiac and respiratory components of the total EBI signal. It can be implemented in the combined electrical signal (ECG) and impedance signal (ICG) cardiograph (ECG/ICG monitor), which enables to widen the established ECG techniques for making both cardiac and vascular system diagnosing simultaneously taking into account also respiration parameters. The developed novel solution promises significant increase in accuracy and diagnosing value of the EBI based cardiologic devices, which in turn, enables to enhance the reliability of diagnosing the cardiovascular diseases worldwide. Books Books ~~ Computers~~ Information Technology Decomposition-of-the-electrical-bio-impedance-signal~~Andrei-Krivo-ei AV Akademikerverlag GmbH & Co. KG. The developed method for adaptive decomposition of the thoracic electrical bio-impedance (EBI) into its main components - cardiac and respiratory ones - is described in the book. The method allows decompose the EBI on-line in non-stationary conditions. Delay of the resulting signals with respect to the input is only two seconds. Moreover, the proposed method allows decompose the EBI signal into its components also in the case when the harmonic spectra of these components are partially overlapped. The method is based on models of the cardiac and respiratory components of the total EBI signal. It can be implemented in the combined electrical signal (ECG) and impedance signal (ICG) cardiograph (ECG/ICG monitor), which enables to widen the established ECG techniques for making both cardiac and vascular system diagnosing simultaneously taking into account also respiration parameters. The developed novel solution promises significant increase in accuracy and diagnosing value of the EBI based cardiologic devices, which in turn, enables to enhance the reliability of diagnosing the cardiovascular diseases worldwide.

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Decomposition of the electrical bio-impedance signal - KrivoSei, Andrei
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KrivoSei, Andrei:
Decomposition of the electrical bio-impedance signal - Livres de poche

ISBN: 3838372220

Edition reliée, ID: 7926497

A signal model based method for separation of the cardiac and respiratory components - Buch, gebundene Ausgabe, 108 S., Beilagen: Paperback, Erschienen: 2010 LAP Lambert Acad. Publ. The developed method for adaptive decomposition of the thoracic electrical bio-impedance (EBI) into its main components - cardiac and respiratory ones - is described in the book. The method allows decompose the EBI on-line in non-stationary conditions. Delay of the resulting signals with respect to the input is only two seconds. Moreover, the proposed method allows decompose the EBI signal into its components also in the case when the harmonic spectra of these components are partially overlapped. The method is based on models of the cardiac and respiratory components of the total EBI signal. It can be implemented in the combined electrical signal (ECG) and impedance signal (ICG) cardiograph (ECG/ICG monitor), which enables to widen the established ECG techniques for making both cardiac and vascular system diagnosing simultaneously taking into account also respiration parameters. The developed novel solution promises significant increase in accuracy and diagnosing value of the EBI based cardiologic devices, which in turn, enables to enhance the reliability of diagnosing the cardiovascular diseases worldwide.

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Decomposition of the electrical bio-impedance signal - KrivoSei, Andrei
Livre non disponible
(*)
KrivoSei, Andrei:
Decomposition of the electrical bio-impedance signal - Livres de poche

2010, ISBN: 3838372220

Edition reliée, ID: 7926497

A signal model based method for separation of the cardiac and respiratory components - Buch, gebundene Ausgabe, 108 S., Beilagen: Paperback, Erschienen: 2010 LAP Lambert Acad. Publ.

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Détails sur le livre
Decomposition of the electrical bio-impedance signal

The developed method for adaptive decomposition of the thoracic electrical bio-impedance (EBI) into its main components - cardiac and respiratory ones - is described in the book. The method allows decompose the EBI on-line in non-stationary conditions. Delay of the resulting signals with respect to the input is only two seconds. Moreover, the proposed method allows decompose the EBI signal into its components also in the case when the harmonic spectra of these components are partially overlapped. The method is based on models of the cardiac and respiratory components of the total EBI signal. It can be implemented in the combined electrical signal (ECG) and impedance signal (ICG) cardiograph (ECG/ICG monitor), which enables to widen the established ECG techniques for making both cardiac and vascular system diagnosing simultaneously taking into account also respiration parameters. The developed novel solution promises significant increase in accuracy and diagnosing value of the EBI based cardiologic devices, which in turn, enables to enhance the reliability of diagnosing the cardiovascular diseases worldwide.

Informations détaillées sur le livre - Decomposition of the electrical bio-impedance signal


EAN (ISBN-13): 9783838372228
ISBN (ISBN-10): 3838372220
Version reliée
Livre de poche
Date de parution: 2010
Editeur: AV Akademikerverlag GmbH & Co. KG.

Livre dans la base de données depuis 31.07.2007 00:25:41
Livre trouvé récemment le 02.10.2015 09:26:14
ISBN/EAN: 3838372220

ISBN - Autres types d'écriture:
3-8383-7222-0, 978-3-8383-7222-8


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