Complexity measurements for analysis and diagnosis of early ventricular fibrillation

Dejin Yu, M. Small, R. G. Harrison, C. Robertson, G. Clegg, M. Holzer, F. Sterz

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)21-24
Number of pages4
JournalComputers in Cardiology
Publication statusPublished - 1999
EventThe 26th Annual Meeting: Computers in Cardiology 1999 - Hannover, Ger
Duration: 26 Sept 199929 Sept 1999


Dive into the research topics of 'Complexity measurements for analysis and diagnosis of early ventricular fibrillation'. Together they form a unique fingerprint.

Cite this