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