Cloud technologies in the problems of mathematical analysis of cardiological information

P. 112–118.

Zimina E., Shmid A., Новопашин М. А.

The article includes the observation of the cloud services and technologies usage.
The article contains a review of mathematical analysis of cardiac information using cloud
technology, which produces storage, analysis and forecasting on the basis of owned data. In
addition, the authors consider the possibility of integrating cloud technologies with external
systems. The massive use of mobile devices for the removal of the electrocardiogram (ECG)
leads to a quantitative increase of the patients number available for ECG investigation. Thus,
there are new opportunities to research the oscillatory processes of long-term dynamics of the
individual state of the cardiovascular system (CVS) of any patient. The article demonstrates
new opportunities the long-term continuous monitoring of the patients CVS, which allows
identifying regularities of the dynamics of the CVS. Also this article comprises the observation
of the existence of an adequate model of CVS as a distributed nonlinear self-oscillating system
of the class model returns the Fermi-Pasta-Ulam (FPU).

Keywords: кластеризация, clusterization, большие данные, big data, cardiology, кардиология, mathematical cardiology, математическая кардиология

In book

Data Science. Information Technology and Nanotechnology 2018

Issue 2212. , CEUR Workshop Proceedings, 2018.