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Department of Anesthesiology, Mayo Clinic and Foundation, Rochester, Minnesota 55905
The
goal of this study was to merge the methods currently used to assess
beat-by-beat changes in muscle sympathetic nerve activity with a
signal-averaging approach and overcome the inherent subjectivity and
time-consuming nature of manual analysis of baroreflex-mediated sympathetic responses in humans. This is a retrospective study using
data obtained during two prior studies [J. R. Halliwill, J. A. Taylor, and D. L. Eckberg. J. Physiol. (Lond.) 495:
279-288, 1996; C. T. Minson, J. R. Halliwill, T. Young, and M. J. Joyner. FASEB J. 13: A1044, 1999]. Beat-by-beat arterial
pressure (Finapres device) and muscle sympathetic nerve activity
(microneurography) were recorded in seven healthy, nonsmoking,
normotensive subjects (2 men, 5 women) between the ages of 23 and 32 yr
during arterial pressure changes induced by bolus injections of
nitroprusside and phenylephrine. The muscle sympathetic nerve
activity-diastolic pressure relationship was analyzed by both the
traditional manual detection method and a novel segregated
signal-averaging method. The results show the two analysis approaches
are highly correlated across subjects (r = 0.914, P
< 0.05) and are in close agreement [slope for manual
detection
6.17 ± 0.91 (SE) vs. slope for segregated signal
averaging
5.98 ± 0.83 total integrated
activity · beat
1 · mmHg
1; P = 0.60]. However, a
considerable time savings is seen with the new method (min vs.
h). Segregated signal averaging as developed here provides a valid
alternative to "by-hand" analysis of beat-by-beat changes in
muscle sympathetic nerve activity that occur during dynamic
baroreflex-mediated changes in sympathetic outflow. This approach
provides an objective, rapid method to analyze nerve recordings.
muscle sympathetic nerve activity; sympathetic nervous system; signal processing; computer assisted; microneurography; microelectrodes
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