DocumentCode
2399750
Title
Probability Integral Parameters Identification at Heart Rate Variability Type Detection by Neyman - Pearson Criterion
Author
Leschyshyn, Yury ; Yavorskyy, Bohdan ; Rafa, Taras ; Shadrina, Galina
Author_Institution
Ternopil State Ivan Pul´´uj Tech. Univ., Ternopil
fYear
2006
fDate
Feb. 28 2006-March 4 2006
Firstpage
628
Lastpage
629
Abstract
The probability integral parameters at heart rate variability type detection by Neyman-Pearson criterion are identified in this paper. A method of statistical decision-making is adapted to computing model of the mathematical software MATLAB.
Keywords
cardiology; medical signal processing; probability; statistical analysis; MATLAB; Neyman-Pearson criterion; heart rate variability type detection; probability integral parameters identification; statistical decision-making; Additive noise; Decision making; Electrocardiography; Heart rate detection; Heart rate variability; MATLAB; Mathematical model; Parameter estimation; Probability; Testing; Heart rate variability; Neyman - Pearson criterion; detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Modern Problems of Radio Engineering, Telecommunications, and Computer Science, 2006. TCSET 2006. International Conference
Conference_Location
Lviv-Slavsko
Print_ISBN
966-553-507-2
Type
conf
DOI
10.1109/TCSET.2006.4404661
Filename
4404661
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