DocumentCode
333460
Title
Sampling rate and time alignment in the estimation of QRS variability
Author
Laguna, Pablo ; Sörnmo, Leif
Author_Institution
Commun. Technol. Group, Zaragoza Univ., Spain
fYear
1998
fDate
29 Oct-1 Nov 1998
Firstpage
159
Abstract
Studies sampling frequency effects in time alignment and averaging in the analysis of high-resolution ECGs (HRECG). The resolution of time alignment is limited by noise and the sampling interval. We theoretically model the sampling rate effect, both in the estimated ensemble-averaged (EA) signal and in the estimated variability with the ensemble deviation (ED) signal. We predict that for an SNR of 30 dB, the sampling frequency should be around 4 kHz to get a misalignment effect of the order of 10% of the noise effect, and then consider misalignment to be negligible. The results were quantified in terms of ED signal power and the power of the error signal. Experimental results corroborate the theoretical predictions and lead us to propose 4 kHz as the desired sampling rate for HRECG variability studies, rather than the 1-kHz rate that is routinely used in many places
Keywords
electrocardiography; medical signal processing; noise; signal sampling; 30 dB; 4 kHz; QRS variability estimation; SNR; averaging; ensemble deviation signal power; ensemble-averaged signal; error signal power; high-resolution ECG analysis; misalignment effect; noise effect; noise-limited resolution; sampling frequency effects; sampling interval; sampling rate; time alignment; Communications technology; Delay; Electrocardiography; Frequency; Sampling methods; Signal analysis; Signal processing; Signal resolution; Signal sampling; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location
Hong Kong
ISSN
1094-687X
Print_ISBN
0-7803-5164-9
Type
conf
DOI
10.1109/IEMBS.1998.745862
Filename
745862
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