Literature DB >> 2254702

Complementary nature of electrocardiographic and magnetocardiographic data in patients with ischemic heart disease.

J Lant1, G Stroink, B ten Voorde, B M Horacek, T J Montague.   

Abstract

High resolution body surface potential maps (BSPM) and magnetic field maps (MFM) for study groups consisting of 11 Q wave and 11 non Q wave myocardial infarct (MI) patients as well as 9 normal subjects, were recorded in a magnetically and electrically shielded room. A control group of 22 normal subjects provided group mean normal time integral maps for selected QRST time intervals. The difference between magnitudes of extrema in each map defined the normal mean data range R for that time interval. The root mean square sum of the differences between the time integral map of a study subject and the normal group-mean map provided an estimate of individual map variability, V. Subsequent calculation of group-mean map variability, V, and group-mean normalized variability, V/R, for specific time intervals of the cardiac cycle, were used to test the abilities of BSPM and MFM techniques to distinguish between the normal and MI study groups. Results indicate that BSPM V/R differences between MI and normal groups are most pronounced during Q wave and Q zone activity; between inferior MI's and normals (p less than 0.05) and between anterior MI's and normal (p less than 0.01). Significant differences in MFM V/R occur during repolarization; between inferior MI's and non Q wave MI's (p less than 0.05), between anterior MI's and normals (p less than 0.05), between non Q wave MI's and normals (p less than 0.05) and between all MI's and normals (p less than 0.01). It is concluded that high resolution BSPM and MFM provide complementary means of discriminating between normal subjects and MI patients.

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Year:  1990        PMID: 2254702     DOI: 10.1016/0022-0736(90)90121-h

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  8 in total

1.  Magnetocardiography in coronary artery disease with a new system in an unshielded setting.

Authors:  Birgit Hailer; Illja Chaikovsky; Sabine Auth-Eisernitz; Harald Schäfer; Fritz Steinberg; Dietrich H W Grönemeyer
Journal:  Clin Cardiol       Date:  2003-10       Impact factor: 2.882

2.  Changes in dipolar structure of cardiac magnetic field maps after ST elevation myocardial infarction.

Authors:  Peter Van Leeuwen; Birgit Hailer; Alexander Beck; Gregor Eiling; Dietrich Grönemeyer
Journal:  Ann Noninvasive Electrocardiol       Date:  2011-10       Impact factor: 1.468

3.  Magnetocardiographic assessment of healed myocardial infarction.

Authors:  Helena Hänninen; Miia Holmström; Paula Vesterinen; Milla Karvonen; Heikki Väänänen; Lasse Oikarinen; Markku Mäkijärvi; Jukka Nenonen; Kirsi Lauerma; Toivo Katila; Lauri Toivonen
Journal:  Ann Noninvasive Electrocardiol       Date:  2006-07       Impact factor: 1.468

4.  A method for detecting myocardial abnormality by using a total current-vector calculated from ST-segment deviation of a magnetocardiogram signal.

Authors:  A Kandori; H Kanzaki; K Miyatake; S Hashimoto; S Itoh; N Tanaka; T Miyashita; K Tsukada
Journal:  Med Biol Eng Comput       Date:  2001-01       Impact factor: 2.602

5.  A method for detecting myocardial abnormality by using a current-ratio map calculated from an exercise-induced magnetocardiogram.

Authors:  A Kandori; H Kanzaki; K Miyatake; S Hashimoto; S Itoh; N Tanaka; T Miyashita; K Tsukada
Journal:  Med Biol Eng Comput       Date:  2001-01       Impact factor: 2.602

6.  [Relevance of magnetocardiography in coronary artery disease and myocardial infarction].

Authors:  B Hailer
Journal:  Herzschrittmacherther Elektrophysiol       Date:  1997-09

7.  Magnetocardiography and cardiac risk.

Authors:  M Mäkijärvi
Journal:  Herzschrittmacherther Elektrophysiol       Date:  1997-09

8.  Comparison of Electric- and Magnetic-Cardiograms Produced by Myocardial Ischemia in Models of the Human Ventricle and Torso.

Authors:  Erick A Perez Alday; Haibo Ni; Chen Zhang; Michael A Colman; Zizhao Gan; Henggui Zhang
Journal:  PLoS One       Date:  2016-08-24       Impact factor: 3.240

  8 in total

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