Suche nach Personen

plus im Publikationsserver
plus bei BASE
plus bei Google Scholar

Daten exportieren

 

Optimal designs in electrocardiography with non-constant variances

Titelangaben

Verfügbarkeit überprüfen

Bischoff, Wolfgang ; Cremers, Heinz ; Fieger, Werner:
Optimal designs in electrocardiography with non-constant variances.
In: Zeitschrift für angewandte Mathematik und Mechanik. 70 (1990) 6. - S. 731-733.
ISSN 0044-2267 ; 0946-8463

Kurzfassung/Abstract

For medical diagnosis it is important to have information about the electrical potential of the heart of a patient. Body surface potential mapping (BSPM) is the representation of electric potentials as they occur at a fixed point of time on the body surface during the electric activity of the heart. It has been demonstrated in {\it M. Hirai} et al. [Am. Heart J. 108, 975-982 (1984)] that, in fact, the BSPM produces valuable information to the physician typically not obtainable from the ECG. Using the method of cylindrical regression for the representation of the potentials, the determination of optimal designs in the authors' paper, Innov. Tech. Biol. Med. (ITBM) 8, 23-34 (1987), is based on the assumption that the (random) potential values measured on the body surface have constant variances. According to the decentral position of the heart we suppose here that the variance of the potential deviation depends on the distance between the measuring points and the heart.

Weitere Angaben

Publikationsform:Artikel
Schlagwörter:D-optimal designs; medical diagnosis; electrical potential of the heart; Body surface potential mapping; BSPM; representation of electric potentials; ECG; cylindrical regression; variance of the potential deviation
Institutionen der Universität:Mathematisch-Geographische Fakultät > Mathematik > Lehrstuhl für Mathematik - Statistik und Stochastik
Peer-Review-Journal:Ja
Verlag:Wiley-VCH
Die Zeitschrift ist nachgewiesen in:
Titel an der KU entstanden:Nein
KU.edoc-ID:3824
Eingestellt am: 19. Mär 2010 15:47
Letzte Änderung: 19. Mär 2010 15:47
URL zu dieser Anzeige: https://edoc.ku.de/id/eprint/3824/
AnalyticsGoogle Scholar