On direct sequential analysis of heart rate variability signals | Zendy

Dragana Bajić | Zendy; Tatjana Lončar-Turukalo | Zendy; Olijandra Sibarevic | Zendy

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On direct sequential analysis of heart rate variability signals

Author(s) -

Dragana Bajić,

Tatjana Lončar-Turukalo,

Olijandra Sibarevic

Publication year - 2005

Publication title -

archive of oncology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.104

H-Index - 13

eISSN - 1450-9520

pISSN - 0354-7310

DOI - 10.2298/aoo0501035b

Subject(s) - heart rate variability , statistical analysis , computer science , nonlinear system , heart rate , data mining , statistics , mathematics , medicine , blood pressure , physics , quantum mechanics

Heart rate variability analysis represents one of the most promising and the most commonly used quantitative measures of the cardiovascular autonomic regulatory system. The analysis includes traditional statistical analytical tools and a number of new methods based on nonlinear system theory, recently developed to give better insight into complex HR. This paper introduces a direct sequential analysis

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