Single sweep analysis of event related auditory potentials for the monitoring of sedation in cardiac surgery patients

Luca Mainardi (Corresponding Author), Jukka Kupila, Kari Nieminen, Ilkka Korhonen, Anna Bianchi, Linda Pattini, Jukka Takala, Jari Karhu, Sergio Cerutti

Research output: Contribution to journalArticleScientificpeer-review

13 Citations (Scopus)

Abstract

Event-related potentials (ERPs) from the auditory system were investigated in 28 post-operative cardiac patients in order to assess their relevance in the monitoring of patient sedation level. Midazolam (17 patients) and propofol (11 patients) were the sedative agents used. The auditory ERP components of N100 (HAB100) and mismatch negativity (MMN) were considered. A single sweep method based on the AutoRegressive with eXogenous input (ARX) model, which is able to enhance the evoked responses to each single stimulus, was used to process each sweep and to compute traditional parameters on a sweep-by-sweep basis. Differences in the measured parameters were related to variations in the patient sedation levels classified through Ramsay score. Significant differences (P<0.05) in both MMN and HAB100 parameters were found between light sedation (LS) and deep sedation (DS) levels.

Original languageEnglish
Pages (from-to)219-227
JournalComputer Methods and Programs in Biomedicine
Volume63
Issue number3
DOIs
Publication statusPublished - 2000
MoE publication typeA1 Journal article-refereed

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