Identification of patients with coronary artery disease using magnetocardiographic signal analysis / Identifizierung von Patienten mit koronarer Herzkrankheit anhand magnetokardiographischer Signalanalyse
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Peter Van Leeuwen
Abstract
Introduction: Magnetocardiography (MCG), which measures the magnetic component of the heart's electrical activity, offers an alternative approach for analyzing changes induced by coronary artery disease (CAD). This study examines several parameters that quantify spatial and temporal aspects of cardiac magnetic signals in CAD.
Materials and methods: MCGs were registered at rest in 144 subjects, aged 58.3±9.8 years: 50 healthy subjects, 43 CAD patients without myocardial infarction (MI), 36 with MI, and 15 with spontaneous episodes of ventricular tachycardia (VT). Spatial characteristics of magnetic field maps (MFM), quantified using their centers of gravity, included MFM orientation and trajectory plots. Spatio-temporal analysis was performed by determining the spatial distribution of the QT interval.
Results: In CAD patients, MFM orientation during the QT interval deviated from normal in 67% of patients without MI and in 85% of patients with MI. Trajectory plots deviated from those of the normal group, with deviation increasing with disease severity. Quantifying the distribution of QT interval duration using a smoothness index demonstrated a significant difference between the values for healthy subjects and non-MI patients, as well as MI patients with and without VT (p<0.001).
Conclusion: The results reported demonstrate that disturbances in cardiac electrogenesis resulting from CAD may be assessed using MCG signal analysis.
Zusammenfassung
Einleitung: Magnetokardiographie (MKG) misst die magnetische Komponente der elektrischen Aktivität des Herzens und stellt somit eine alternative Methode zur Analyse der durch die koronare Herzkrankheit (KHK) hervorgerufenen Veränderungen dar. In dieser Studie werden verschiedene Parameter untersucht, welche die räumlichen und zeitlichen Aspekte des kardialen magnetischen Signals bei KHK quantifizieren.
Material und Methode: MKGs wurden in Ruhe bei 144 Personen im Alter von 58,3±9,8 Jahren registriert: 50 gesunde Probanden, 43 KHK Patienten ohne Myokardinfarkt (MI), 36 mit MI, 15 mit spontanen Episoden ventrikulärer Tachykardie (VT). Räumliche Charakteristiken der Magnetfeldkarten (MFM), die über ihre Schwerpunkte quantifiziert wurden, beinhalteten die MFM-Orientierung sowie Trajectory-Plots. Die räumlich-zeitliche Analyse erfolgte unter Verwendung der räumlichen Verteilung des QT-Intervalls.
Ergebnisse: Die MFM-Orientierung der KHK-Patienten differierte im Verlauf des QT-Intervalls bei 67% der Patienten ohne und 85% der Patienten mit MI von den Normalwerten. Trajectory-Plots wichen von denen der Normalgruppe mit steigender Schwere der Erkrankung immer mehr ab. Die Quantifizierung der Verteilung der Dauer des QT-Intervalls mit Hilfe eines Glattheitsindexes führte zu signifikanten Unterschieden zwischen den Werten der Gesunden und der Patienten ohne MI sowie der MI-Patienten mit und ohne VT (p<0,001).
Schlussfolgerung: Die Ergebnisse zeigen, dass Störungen der kardialen Elektrogenese durch KHK mit der MKG-Signalanalyse erfasst werden können.
References
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©2006 by Walter de Gruyter Berlin New York
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Articles in the same Issue
- Biosignal Processing: the pacemaker for innovations in Biomedical Engineering – state, developments, trends
- Analysis of complex physiological systems by information flow: a time scale-specific complexity assessment / Analyse komplexer physiologischer Systeme mit Hilfe des Informationsflusses über spezielle Zeitskalen
- Robust filters for intensive care monitoring: beyond the running median / Robuste Filter für intensivmedizinisches Monitoring: mehr als ein gleitender Median
- Brain-computer interfaces for control of neuroprostheses: from synchronous to asynchronous mode of operation / Brain-Computer Interfaces zur Steuerung von Neuroprothesen: von der synchronen zur asynchronen Funktionsweise
- Development of interaction measures based on adaptive non-linear time series analysis of biomedical signals / Entwicklung von Interaktionsmaßen auf der Grundlage adaptiver, nichtlinearer Zeitreihenanalyse von biomedizinischen Signalen
- Comparison of three methods for beat-to-beat-interval extraction from continuous blood pressure and electrocardiogram with respect to heart rate variability analysis / Vergleich von drei Methoden der Schlag-zu-Schlag-Intervall-Extraktion aus kontinuierlichen Blutdruckverläufen und Elektrokardiogrammen zur Herzratenvariabilitätsanalyse
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- Identification of patients with coronary artery disease using magnetocardiographic signal analysis / Identifizierung von Patienten mit koronarer Herzkrankheit anhand magnetokardiographischer Signalanalyse
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