According to the World Health Organization, each year cardiovascular diseases (CVD) cause the death of 17.5 million people. Equipment used for oscillograms has great inertia and low sensitivity. The authors have suggested morphological, temporal, spectral methods of analysis of arterial oscillograms. These methods were used to study the adaptive capacity of cardiovascular system to compression of blood vessels in arm during rest and application of 26 kinds of external influences. Application of these ICT methods for arterial oscillogram analysis allows the physician expand information on: the state of the autonomic nervous and cardiovascular systems and centralization level of their activities management; activity and interaction of various parts of nervous system, heart and brain rhythms. They increase the information content on functional reserves and body adaptive ability to resist external influences, mechanisms and quality process of homeostasis maintaining, speed and quality of recovery processes herewith, pathological process dynamics and effectiveness of rehabilitation methods application. The suggested methods will be useful for general physicians, pediatricians, cardiologists, neurologists, researchers, in sports medicine.
CITATION STYLE
Martsenyuk, V., Vakulenko, D., Vakulenko, L., Kłos-Witkowska, A., & Kutakova, O. (2018). Information system of arterial oscillography for primary diagnostics of cardiovascular diseases. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11127 LNCS, pp. 46–56). Springer Verlag. https://doi.org/10.1007/978-3-319-99954-8_5
Mendeley helps you to discover research relevant for your work.