Supervisors info:
Ν. Σαρλής Aναπληρωτής Καθηγητής ΕΚΠΑ (επιβλέπων), Παναγιώτης Βαρώτσος Καθηγητής ΕΚΠΑ, Ευθύμιος Σκορδάς Επίκουρος Καθηγητής ΕΚΠΑ
Summary:
We study two databases containing electrocardiogram (ECG) recordings of healthy
subjects
(nsr2db database) and ECG recordings of individuals who suffered Sudden Cardiac
Death (SCD)
(sddb database). The study was made in a new time domain, the natural time,
introduced by
Varotsos P. A., N. V. Sarlis, E. S. Skordas [Practica of Athens Academy, Vol.
76, 296-321 (2001)]
for analyzing physiological time series. The purpose is to distinguish
individuals who suffered SCD
from healthy subjects using the natural time entropy complexity measures λ and
Λ which are
related with the change of scale [Varotsos P. A., N. V. Sarlis, E. S. Skordas,
and M. S. Lazaridou,
Natural Time Analysis: The New View of Time: Precursory Seismic Electric
Signals, Earthquakes
and other Complex Time Series (Springer -Verlag, Berlin- Heidelberg) 2011] .
Afterwards, we produce healthy heart rythms, using the INAGS model [Ivanov P.
C., Nunes
Amaral L. A., Goldberger A. L., Stanley H. E., Europhys. Lett. 43, 363-368
(1998)]. By analyzing
these healthy heart rythms in natural time domain and calculating the
complexity measures λ and
Λ , it was assured that nature time analysis and the INAGS model are
consistent.
Keywords:
Electrocardiogram, Sudden cardiac death, Natural time, Complexity measures, INAGS model