DocumentCode :
406900
Title :
Accuracy of ultra-short heart rate variability measures
Author :
Thong, Tran ; Li, Kehai ; McNames, James ; Aboy, Mateo ; Goldstein, Brahm
Author_Institution :
Dept. of Biomed. Eng., Oregon Health & Sci. Univ., Beaverton, OR, USA
Volume :
3
fYear :
2003
fDate :
17-21 Sept. 2003
Firstpage :
2424
Abstract :
Heart rate variability (HRV) measures have been used to assess autonomic cardiac regulation. The standard lengths used in HRV analyses are 5 minutes and 24 hours. In this paper we investigated the accuracy of three HRV measures for ultra-short record length, 10 seconds, which is the length of standard electrocardiograms. The measures chosen were: Standard Deviation Normal-Normal (SDNN), Root Mean Square of Successive Differences (RMSSD), frequency of the peak of the high-frequency (HF) spectra derived using a non-parametric spectrum method. Our analyses indicated that the RMSSD(10)s would be consistent estimates of the 5 minute RMSSD(300)s. The SDNN(10)s were found not to be accurate in our analyses. The HF peak, while promising, would require further studies.
Keywords :
biomedical measurement; electrocardiography; medical signal processing; 10 s; 5 min; autonomic cardiac regulation; nonparametric spectrum method; root mean square of successive differences; standard deviation normal-normal; standard electrocardiograms; ultrashort heart rate variability measures accuracy; ultrashort record length; Biomedical engineering; Biomedical measurements; Electrocardiography; Heart rate variability; Histograms; Laboratories; Measurement standards; Neural networks; Root mean square; Time measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
ISSN :
1094-687X
Print_ISBN :
0-7803-7789-3
Type :
conf
DOI :
10.1109/IEMBS.2003.1280405
Filename :
1280405
Link To Document :
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