EurekaMag.com logo
+ Site Statistics
References:
52,725,316
Abstracts:
28,411,598
+ Search Articles
+ Subscribe to Site Feeds
EurekaMag Most Shared ContentMost Shared
EurekaMag PDF Full Text ContentPDF Full Text
+ PDF Full Text
Request PDF Full TextRequest PDF Full Text
+ Follow Us
Follow on FacebookFollow on Facebook
Follow on TwitterFollow on Twitter
Follow on Google+Follow on Google+
Follow on LinkedInFollow on LinkedIn

+ Translate

Spectral analysis of ventilation in elderly subjects awake and asleep


Journal of Applied Physiology 64(3): 1257-1267
Spectral analysis of ventilation in elderly subjects awake and asleep
We studied the periodicities of ventilation in elderly subjects using digital comb filtering. Two groups of subjects were studied, those with and without sleep apnea. Measurements were made in wakefulness, stage 1-2 sleep, and where possible in stage 3-4 sleep. For each of the digital filters we calculated the average power of the oscillatory output. To compare subject groups we first specifically determined the average power in the filter with the maximum output. The mean of this measurement was greater in elderly subjects with apnea compared with those without apnea, both during wakefulness and stage 1-2 sleep. In both groups of subjects the cycle time of the major ventilatory oscillations was on the order of 40-60 s. There was no difference in this cycle time between the two groups of subjects in wakefulness or stage 1-2 sleep. Thus, whereas similar oscillatory processes occur in subjects with and without apnea, it is the magnitude of the oscillation that differs between the two groups. These conclusions are supported by analysis of the output of individual filters of the digital comb filter. In both groups, stage 1-2 sleep produces significantly increased oscillations in ventilation. Both in wakefulness and stage 1-2 sleep, significantly greater periodicities occurred in the apneic compared with the nonapneic group. In the few subjects who had sufficient data in stage 3-4 sleep for spectral analysis, ventilatory oscillations were virtually absent in this state. Our data suggest that subjects who develop apnea during sleep have an increased propensity for periodic breathing even while awake.


Accession: 006459473

PMID: 3366740



Related references

Effects of changes in respirator settings on effective ventilation during non-invasive ventilation applied through the nose , in healthy subjects awake and asleep. Journal of Sleep Research 5(SUPPL 1): 167, 1996

Changes in control of ventilation, awake and asleep, in the elderly. Journal of the American Geriatrics Society 34(7): 533-544, 1986

Glottic width responses to nasal intermittent positive pressure ventilation using two-level pressure ventilation in normal subjects awake and asleep. European Respiratory Journal 7(SUPPL 18): 107S, 1994

Pressure support mode improves ventilation in "asleep-awake-asleep" craniotomy. Journal of Neurosurgical Anesthesiology 18(1): 88-88, 2005

Effectiveness of controlled and spontaneous modes in nasal two-level positive pressure ventilation in awake and asleep normal subjects. Chest 112(5): 1267-1277, 1997

Intermittent general anesthesia with controlled ventilation for asleep-awake-asleep brain surgery: a prospective series of 140 gliomas in eloquent areas. Neurosurgery 71(4): 764-771, 2013

Spectral analysis of ventilation in elderly subjects. American Review of Respiratory Disease 131(4 SUPPL): A293, 1985

Spectral analysis of heart rate variability during asleep-awake craniotomy for tumor resection. Journal of Neurosurgical Anesthesiology 21(3): 242-247, 2009

Anesthesia management of awake craniotomy performed under asleep-awake-asleep technique using laryngeal mask airway: report of two cases. Neurology India 56(1): 65-67, 2008

Comparison of Conscious Sedation and Asleep-Awake-Asleep Techniques for Awake Craniotomy. Journal of Clinical Neuroscience, 2016