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
Number of pages12
JournalIEEE Engineering in Medicine and Biology Magazine
Volume16
Issue number6
DOIs
Publication statusPublished - 1997
MoE publication typeA1 Journal article-refereed

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Intensive care units
Neurology
Monitoring
Electrocardiography
Spectrum analysis

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
Mainardi, Luca ; Yli-Hankala, Arvi ; Korhonen, Ilkka ; Signorini, Maria ; Takala, Jukka ; Nieminen, Kari ; Cerutti, Sergio. / Monitoring the autonomic nervous system in the ICU through cardiovascular variability signals. In: IEEE Engineering in Medicine and Biology Magazine. 1997 ; Vol. 16, No. 6. pp. 64 - 75.
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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, vol. 16, no. 6, pp. 64 - 75. https://doi.org/10.1109/51.637119

Monitoring the autonomic nervous system in the ICU through cardiovascular variability signals. / Mainardi, Luca; Yli-Hankala, Arvi; Korhonen, Ilkka; Signorini, Maria; Takala, Jukka; Nieminen, Kari; Cerutti, Sergio.

In: IEEE Engineering in Medicine and Biology Magazine, Vol. 16, No. 6, 1997, p. 64 - 75.

Research output: Contribution to journalArticleScientificpeer-review

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AU - Mainardi, Luca

AU - Yli-Hankala, Arvi

AU - Korhonen, Ilkka

AU - Signorini, Maria

AU - Takala, Jukka

AU - Nieminen, Kari

AU - Cerutti, Sergio

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AB - 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.

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