An ECG-based algorithm for the automatic identification of autonomic Activations associated with cortical arousal
An ECG-based algorithm for the automatic identification of autonomic Activations associated with cortical arousal
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DOI:
10.1093/sleep/30.10.1349
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发表时间:
2007-10-01
期刊:
影响因子:
5.6
通讯作者:
Samel, Alexander
中科院分区:
文献类型:
--
作者:
Basner, Mathias;Griefahn, Barbara;Samel, Alexander
Objectives: EEG arousals are associated with autonomic activations. Visual EEG arousal scoring is time consuming and suffers from low interobserver agreement. We hypothesized that information on changes in heart rate alone suffice to predict the occurrence of cortical arousal.Methods: Two visual AASM EEG arousal scorings of 56 healthy subject nights (mean age 37.0 +/- 12.8 years, 26 male) were obtained. For each of 5 heartbeats following the onset of 3581 consensus EEG arousals and of an equal number of control conditions, differences to a moving median were calculated and used to estimate likelihood ratios (LRs) for 10 categories of heartbeat differences. Comparable to 5 consecutive diagnostic tests, these LRs were used to calculate the probability of heart rate responses being associated with cortical arousals.Results: EEG and ECG arousal indexes agreed well across a wide range of decision thresholds, resulting in a receiver operating characteristic (ROC) with an area under the curve of 0.91. For the decision threshold chosen for the final analyses, a sensitivity of 68.1% and a specificity of 95.2% were obtained. ECG and EEG arousal indexes were poorly correlated (r = 0.19, P