Title :
Reliability and accuracy of heart rate variability metrics versus ECG segment duration
Author :
McNames, J. ; Thong, T. ; Goldstein, B.
Author_Institution :
Biomed. Signal Process. Lab., Portland State Univ., OR, USA
Abstract :
Heart rate variability (HRV) has been used in many studies to assess the effects of autonomic regulation on the heart rate. A 1996 task force specified standards for calculating HRV metrics and reporting results. The standards focused on metrics calculated from short-term (5 min) and long-term (24 h) recordings of the electrocardiogram (ECG). We compared the accuracy of nine HRV metrics calculated from ECG records spanning 10 s to 10 min to that calculated from a 5 min record. We also estimated the reliability of all nine metrics calculated from 5 min records. We found that high frequency power (HF) and the root mean square of successive NN interval differences (RMSSD) were substantially less sensitive to the segment duration and more reliable than the other seven metrics.
Keywords :
electrocardiography; measurement standards; medical signal processing; patient diagnosis; reliability; 10 to 600 s; 24 h; 5 min; ECG; electrocardiogram; heart rate variability; metrics; reliability; Biomedical engineering; Databases; Electrocardiography; Force measurement; Heart rate variability; Instruments; Laboratories; Neural networks; Reliability engineering; Rhythm;
Conference_Titel :
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
Print_ISBN :
0-7803-7789-3
DOI :
10.1109/IEMBS.2003.1279574