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.
|Title of host publication||Unknown Host Publication|
|Publisher||American Society of Mechanical Engineers|
|Number of pages||6|
|Publication status||Published - 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||Artificial Neural Networks in Engineering Conference (ANNIE'94); St. Louis, MO, USA|
|Period||15/12/94 → …|
- Bioelectric potentials
- Chaos theory
- Computational complexity
- Patient monitoring
- Time domain analysis
- At risk discrimination
- Fractal dimension analysis
- Late potential attractor
- Post myocardial infarction patients
- Neural networks.
Escalona, OJ., & Mitchell, RH. (1994). Fractal dimension analysis of the late potential attractor in post-MI patients as a method of at-risk discrimination. In CH. Dagli (Ed.), Unknown Host Publication (Vol. 4, pp. 813-818). American Society of Mechanical Engineers.