Journal of Applied Physiology
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J Appl Physiol 91: 1199-1206, 2001;
8750-7587/01 $5.00
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Vol. 91, Issue 3, 1199-1206, September 2001

Automated quantification of sympathetic beat-by-beat activity, independent of signal quality

J. W. Hamner and J. Andrew Taylor

Laboratory for Cardiovascular Research, Research and Training Institute, Hebrew Rehabilitation Center for the Aged, Boston 02131; and Division on Aging, Harvard Medical School, Boston, Massachusetts 02215

Sympathetic nerve activity (SNA) can provide critical information on cardiovascular regulation; however, in a typical laboratory setting, adequate recordings require assiduous effort, and otherwise high-quality recordings may be clouded by frequent baseline shifts, noise spikes, and muscle twitches. Visually analyzing this type of signal can be a tedious and subjective evaluation, whereas objective analysis through signal averaging is impossible. We propose a new automated technique to identify bursts through objective detection criteria, eliminating artifacts and preserving a beat-by-beat SNA signal for a variety of subsequent analyses. The technique was evaluated during both steady-state conditions (17 subjects) and dynamic changes with rapid vasoactive drug infusion (14 recordings from 5 subjects) on SNA signals of widely varied quality. Automated measures of SNA were highly correlated to visual measures of steady-state activity (r = 0.903, P < 0.001), dynamic relation measures (r = 0.987, P < 0.001), and measures of burst-by-burst variability (r = 0.929, P < 0.001). This automated sympathetic neurogram analysis provides a viable alternative to tedious and subjective visual analyses while maximizing the usability of noisy nerve tracings.

microneurography; baroreflex; time-series analysis


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