By Topic

Monitoring the autonomic nervous system in the ICU through cardiovascular variability signals

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

8 Author(s)
Mainardi, L.T. ; Dept. of Biomed. Eng., Polytech. Univ., Milan, Italy ; Yli-Hankala, A. ; Korhonen, I. ; Signorini, M.G.
more authors

Studies the usefulness of cardiovascular variability parameters for monitoring intensive-care unit (ICU) patients, and discusses assessing ICU patient status using spectral analysis parameters. Both short-term and long-term spectral parameters were employed for the assessment of patient status in the ICU. Short-term parameters were sensitive to the airway suction (AWS) and may also be employed to monitor the response to different therapeutic interventions. Long-term parameters showed significantly increased α-slope values in nonsurviving patients. This result suggests that the α-slope value on 24-hour RR spectra obtained from the ECG signal may be a relevant prognostic index

Published in:

Engineering in Medicine and Biology Magazine, IEEE  (Volume:16 ,  Issue: 6 )