We present complexity measurements from ECG signals during ventricular fibrillation (VF) using the Gaussian kernel algorithm. Ten ECG data sets of early VF among 53 pig subjects are selected for such analysis. A single test uses a segment of 33.33 seconds and 15 measurements are made on each ECG trace over sliding windows with a skipping length of 10 seconds. It has been shown that the early VF contains approximately 80%-90% low-dimensional deterministic dynamics and approximately 10%-20% high-dimensional component. Dimensions differ from subject to subject and segment to segment, with D2(overbar) to approximately 5, and entropy is positive. For a given ECG trace, variation in dimension along the data is within ±1.0 around its mean value and no monotonic trend exists. Further, the measurements reveal the existence of complex structure within 3 minutes, which is consistent with periodicity analysis.
|Number of pages||4|
|Journal||Computing in Cardiology|
|Publication status||Published - 1 Dec 1999|
|Event||The 26th Annual Meeting: Computers in Cardiology 1999 - Hannover, Germany|
Duration: 26 Sep 1999 → 29 Sep 1999