This article presents methodology of simple model building for risk stratification of sudden cardiac death based on an original ECG signal analysis platform. The method includes the analysis of the ECG signal extraction of selected parameters and model optimization for predicting sudden cardiac death.
This paper presents the concept of computing software platform that allows for simultaneous analysis of weather and Holter signals. The first part of this paper describes the weather station and the software platform that is currently being developed. The second part of the article presents examples of preliminary analysis that can be performed using the software platform.
The goal of this research is to present signals filtering for the high resolution Hotter monitoring system. The first part of this paper concentrates on working of human heart and description of architecture of biopotentials recorder. This part also includes proper amplification and filtration of interferences of bioelectric signals. The second part of this research presents practical realization of Holter monitoring system. Special attention is put on proper selection of components of the recorder and joining them into optimal structure.
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