Title :
Dynamic quantification of heart rate variability
Author :
Kauffmann, Francois ; Peirano, P. ; Cauchemez, Bruno
Author_Institution :
Université de Caen, Département de mathématiques, 14032 Caen Cédex, France
fDate :
Oct. 29 1992-Nov. 1 1992
Abstract :
Digital processing is now widely used for studying physiological signals. We have focused our interest on dynamic estimation of power and it´s standard deviation for the heart rate signal in different frequency bands. These results allows us to estimate the mean duration of epoches with high respiratory arrhythmias.
Keywords :
Cardiology; Estimation; Hafnium; Markov processes; Synchronization;
Conference_Titel :
Engineering in Medicine and Biology Society, 1992 14th Annual International Conference of the IEEE
Conference_Location :
Paris, France
Print_ISBN :
0-7803-0785-2
Electronic_ISBN :
0-7803-0816-6
DOI :
10.1109/IEMBS.1992.5761618