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
fDate :
Feb. 28 2006-March 4 2006
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;
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
DOI :
10.1109/TCSET.2006.4404661
