Abstract
Frequency-domain analysis of ventricular late potentials in the three orthogonal leads XYZ can reveal features of clinical significance. However, a consistent and simple method of spectral analysis has not been agreed. For a more easy interpretation of the spectral information in the 3 orthogonal leads a novel method of vector spectral analysis of ventricular late potentials is proposed here. The method exploits the property of zero-phase normalisation in the N amplitude coefficients (real-valued) of the Discrete Hartley Transform (DHT). This property of the DHT allows an advantageous way of combining the three orthogonal spectra, SX, SY and SZ, into a vector magnitude spectrum, (SX2+SY2+SZ3)½. Summation of amplitude coefficients in the -300 to -60 Hz and 60 to 300 Hz frequency ranges in the DHT vector spectrum provided a simple clinical parameter, S. A clinical evaluation of S indicated that S is of significantly greater value (10.4±5.8 μV) in post-MI patients which are VT inducibles (at risk) than in healthy subjects (3.2±2.4 μV), p
Original language | English |
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Title of host publication | Unknown Host Publication |
Place of Publication | 345 E 47TH ST, NEW YORK, NY 10017 |
Publisher | IEEE |
Pages | 1272-1273 |
Number of pages | 2 |
Volume | 16 |
ISBN (Print) | 0-7803-2050-6 |
DOIs | |
Publication status | Published (in print/issue) - 1994 |
Event | 16TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY - ENGINEERING ADVANCES: NEW OPPORTUNITIES FOR BIOMEDICAL ENGINEERS - Baltimore, MD, USA. Duration: 1 Jan 1994 → … |
Conference
Conference | 16TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY - ENGINEERING ADVANCES: NEW OPPORTUNITIES FOR BIOMEDICAL ENGINEERS |
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Period | 1/01/94 → … |
Keywords
- amplitude coefficients summation
- clinically significant features
- discrete Hartley transform
- late potential analysis
- orthogonal leads
- orthogonal spectra
- simple clinical parameter
- vector spectral combination
- zero-phase normalisation
- Frequency domain analysis
- Myocardial infraction
- Signal averaging
- Vector spectral combination.