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

Luca Mainardi, Arvi Yli-Hankala, Ilkka Korhonen, Maria Signorini, Jukka Takala, Kari Nieminen, Sergio Cerutti

Research output: Contribution to journalArticleScientificpeer-review

10 Citations (Scopus)

Abstract

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 /spl alpha/-slope values in nonsurviving patients. This result suggests that the /spl alpha/-slope value on 24-hour RR spectra obtained from the ECG signal may be a relevant prognostic index.
Original languageEnglish
Pages (from-to)64-75
JournalIEEE Engineering in Medicine and Biology Magazine
Volume16
Issue number6
DOIs
Publication statusPublished - 1997
MoE publication typeA1 Journal article-refereed

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  • Cite this

    Mainardi, L., Yli-Hankala, A., Korhonen, I., Signorini, M., Takala, J., Nieminen, K., & Cerutti, S. (1997). Monitoring the autonomic nervous system in the ICU through cardiovascular variability signals. IEEE Engineering in Medicine and Biology Magazine, 16(6), 64-75. https://doi.org/10.1109/51.637119