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  Real-Time Fetal Heart Monitoring in Biomagnetic Measurements Using Adaptive Real-Time ICA

Waldert, S., Bensch, M., Bogdan, M., Rosenstiel, W., Schölkopf, B., Lowery, C., et al. (2007). Real-Time Fetal Heart Monitoring in Biomagnetic Measurements Using Adaptive Real-Time ICA. IEEE Transactions on Biomedical Engineering, 54(10), 1867-1874. doi:10.1109/TBME.2007.895749.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-CBC1-8 Versions-Permalink: https://hdl.handle.net/21.11116/0000-0005-10E7-4
Genre: Zeitschriftenartikel

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https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4303280 (Verlagsversion)
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 Urheber:
Waldert, S, Autor           
Bensch, M, Autor
Bogdan, M, Autor
Rosenstiel, W, Autor
Schölkopf, B1, 2, Autor           
Lowery , CL, Autor
Eswaran, H, Autor
Preissl, H, Autor           
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Zusammenfassung: Electrophysiological signals of the developing fetal brain and heart can be investigated by fetal magnetoencephalography (fMEG). During such investigations, the fetal heart activity and that of the mother should be monitored continuously to provide an important indication of current well-being. Due to physical constraints of an fMEG system, it is not possible to use clinically established heart monitors for this purpose. Considering this constraint, we developed a real-time heart monitoring system for biomagnetic measurements and showed its reliability and applicability in research and for clinical examinations. The developed system consists of real-time access to fMEG data, an algorithm based on Independent Component Analysis (ICA), and a graphical user interface (GUI). The algorithm extracts the current fetal and maternal heart signal from a noisy and artifact-contaminated data stream in real-time and is able to adapt automatically to continuously varying environmental parameters. This algorithm has been na
med Adaptive Real-time ICA (ARICA) and is applicable to real-time artifact removal as well as to related blind signal separation problems.

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 Datum: 2007-09
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1109/TBME.2007.895749
BibTex Citekey: 4361
 Art des Abschluß: -

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Titel: IEEE Transactions on Biomedical Engineering
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: New York, NY : Institute of Electrical and Electronics Engineers
Seiten: - Band / Heft: 54 (10) Artikelnummer: - Start- / Endseite: 1867 - 1874 Identifikator: ISSN: 0018-9294
CoNE: https://pure.mpg.de/cone/journals/resource/991042742034490