Title :
HRV signal extraction using multirate approach
Author :
Henzel, N. ; Leski, J.
Author_Institution :
Inst. of Electron., Silesian Tech. Univ., Gliwice, Poland
Abstract :
A new computationally efficient method, based on multirate techniques, for heart rate variability (HRV) signal extraction from the R-R intervals is presented. Besides the radical reduction of the computation complexity of the extraction process it simplifies also the design of the required digital filter
Keywords :
cardiovascular system; computational complexity; digital filters; electrocardiography; low-pass filters; medical signal processing; ECG; HRV signal extraction; R-R intervals; computation complexity; computationally efficient method; digital filter; heart rate variability; multirate approach; Data mining; Electrocardiography; Finite impulse response filter; Frequency; Heart beat; Heart rate variability; Information filtering; Information filters; Passband; Sampling methods;
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.804156
