Abstract
A novel and reliable approach which quantifies the degree of complexity of Late Potential (LP) activity in the time domain is presented. By defining the LP attractor in the microvoltage, 3-dimensional space, and then computing the fractal dimension (δ) of the attractor's trajectory, the degree of complexity of LP was quantified with a single parameter. δ may indicate the chaotic behaviour of the terminal activity of the ventricular depolarization process. A value of δ > 1.3 may be considered as the criterion for discriminating post-MI patients that are at risk.
| Original language | English |
|---|---|
| Title of host publication | Unknown Host Publication |
| Editors | CH Dagli |
| Publisher | American Society of Mechanical Engineers |
| Pages | 813-818 |
| Number of pages | 6 |
| Volume | 4 |
| Publication status | Published (in print/issue) - 15 Dec 1994 |
| Event | Artificial Neural Networks in Engineering Conference (ANNIE'94); St. Louis, MO, USA - St. Louis, MO, USA Duration: 15 Dec 1994 → … |
Conference
| Conference | Artificial Neural Networks in Engineering Conference (ANNIE'94); St. Louis, MO, USA |
|---|---|
| Period | 15/12/94 → … |
Keywords
- Bioelectric potentials
- Chaos theory
- Computational complexity
- Electrocardiography
- Fractals
- Patient monitoring
- Risks
- Time domain analysis
- At risk discrimination
- Fractal dimension analysis
- Late potential attractor
- Post myocardial infarction patients
- Neural networks.