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

被引：8

作者：

Mainardi, LT

YliHankala, A

Korhonen, I

Signorini, MG

Bianchi, AM

Takala, J

Nieminen, K

Cerutti, S

机构：

[1] Department of Biomedical Engineering, Polytechnic University, Milano

[2] Anaesthesia Research Group, Dept. of Obstetrics and Gynaecology, Helsinki University Central Hospital

[3] VTT Information Technology, Tampere

[4] IRCCS San Raffaele Hospital, Milano

[5] Department of Intensive Care, Kuopio University Hospital

[6] Women's Hospital, University of Helsinki

[7] Medical Engineering Laboratory, Technical Research Center of Finland, Finnish Inst. of Occupational Health

[8] Lab of Biomedical Engineering, IRCCS S. Raffaele Hospital

[9] Department of Applied Electronics, BS Biomedical Engineering School, Polytechnic University of Milano

[10] Dept. Anaestesiology Intensive Care, Kuopio University Hospital

[11] Polytechnic University, Milan

[12] Dept. of Comp. and System Sciences, University of Rome La Sapienza

[13] MIT, Harvard School of Public Health, Boston, MA

[14] IEEE-AEI, IFMBE-AIIMB, ESEM

[15] Department of Biomedical Engineering, Polytechnic University, 20133 Milano

来源：

IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE | 1997年 / 16卷 / 06期

关键词：

D O I：

10.1109/51.637119

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 [生物医学工程];

摘要：

Short-term and long-term spectral parameters were used for the assessment of patient status in the ICU. Short-term parameters were sensitive to the AWS. Long-term parameters showed significantly increased a-slope values in nonsurviving patients. This result suggests that the a-slope value on 24-h RR spectra may be a relevant prognostic index.

引用

页码：64 / 75

页数：12

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