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

doi:10.1109/51.637119

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

VTT Technical Research Centre of Finland

Research output: Contribution to journal › Article › Scientific › peer-review

11 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 language	English
Pages (from-to)	64-75
Journal	IEEE Engineering in Medicine and Biology Magazine
Volume	16
Issue number	6
DOIs	https://doi.org/10.1109/51.637119
Publication status	Published - 1997
MoE publication type	A1 Journal article-refereed

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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.",

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

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AU - Yli-Hankala, Arvi

AU - Korhonen, Ilkka

AU - Signorini, Maria

AU - Takala, Jukka

AU - Nieminen, Kari

AU - Cerutti, Sergio

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N2 - 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.

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

Abstract

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