Paper
19 June 1979 Non-Invasive Information On The P-R Segment Of The Cardiac Cycle: An Assessment Of The Clinical Potential Of The Electric And Magnetic Methods
D. Farrell, J. Tripp, R. Norgren
Author Affiliations +
Abstract
Reliable non-invasive information on the P-R segment of the cardiac cycle would be of great clinical value for the analysis of conduction disturbances in the heart. Considerable recent effort has centered on obtaining such information from the ECG. However, practical difficulties are encountered which, so far at least, have prevented a widespread application of the method. The magnetic field of the heart offers an alternative probe which appears in principle to be better suited for recording conduction processes. Accordingly, we have obtained preliminary magnetic records using SQUID instrumentation. A very simple averaging scheme was used, employing an on-line 8 bit microprocessor. Our preliminary results confirm that the magnetic record contains clear structure, qualitatively and quantitatively consistent with conduction activity. A biphasic deflection has been observed whose onset is sharply localized in time about 40 msec prior to the onset of ventricular activity and additional activity of interest has also been noted just prior to ventricular activation. The electrical and magnetic approaches to the recording of conduction activity are assessed and it is concluded that the magnetic technique has significant advantages for this purpose.
© (1979) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
D. Farrell, J. Tripp, and R. Norgren "Non-Invasive Information On The P-R Segment Of The Cardiac Cycle: An Assessment Of The Clinical Potential Of The Electric And Magnetic Methods", Proc. SPIE 0167, Noninvasive Cardiovascular Measurements, (19 June 1979); https://doi.org/10.1117/12.956997
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Cited by 8 scholarly publications.
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KEYWORDS
Magnetism

Sensors

Heart

Computing systems

Electrocardiography

Digital filtering

Linear filtering

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