Title :
Periodically correlated heart rate variability detection by Neyman - Pearson criterion
Author :
Leschyshyn, Yury ; Semchyshyn, Olexander
Author_Institution :
Ternopil State Ivan Puluj Tech. Univ., Ternopil
Abstract :
Representations of heart rate variability by periodically correlated stochastic process are grounded. Method of test statistics computation and detection characteristics of periodically correlated heart rate variability by Neyman-Pearson criterion is considered.
Keywords :
electrocardiography; medical signal processing; pneumodynamics; stochastic processes; Neyman-Pearson criterion; periodically correlated heart rate variability detection; periodically correlated stochastic process; Frequency; Heart beat; Heart rate detection; Heart rate variability; Loss measurement; Signal analysis; Statistical analysis; Stochastic processes; Stress; Testing; Heart rate variability; Neyman - Pearson criterion; periodically correlated stochastic process;
Conference_Titel :
CAD Systems in Microelectronics, 2007. CADSM '07. 9th International Conference - The Experience of Designing and Applications of
Conference_Location :
Lviv-Polyana
Print_ISBN :
966-533-587-0
DOI :
10.1109/CADSM.2007.4297504