Predict the neurological recovery under hypothermia after cardiac arrest using CO complexity measure of EEG signals

Yueli Lu, Dineng Jiang, Xiaofeng Jia, Yihong Qiu, Yisheng Zhu, Nitish Thakor, Shanbao Tong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Clinical trials have proven the efficacy of therapeutic hypothermia in improving the functional outcome after cardiac arrest (CA) compared with the normothermic controls. Experimental researches also demonstrated quantitative electroencephalogram (qEEG) analysis was associated with the long-term outcome of the therapeutic hypothermia in brain injury. Nevertheless, qEEG has not been able to provide a prediction earlier than 6h after the return of spontaneous circulation (ROSC). In this study, we use CO complexity to analyze the nonlinear characteristic of EEG, which could predict the neurological recovery under therapeutic hypothermia during the early phase after asphyxial cardiac arrest in rats. Twelve Wistar rats were randomly assigned to 9-min asphyxia injury under hypothermia (33°C, n=6) or normothermia (37°C, n=6). Significantly greater CO complexity was found in hypothermic group than that in normothermic group as early as 4h after the ROSC (P<0.05). CO complexity at 4h correlated well with the 72h neurodeficit score (NDS) (Pearson's correlation = 0.882). The results showed that the CO complexity could be an early predictor of the long-term neurological recovery from cardiac arrest.

Original languageEnglish (US)
Title of host publicationProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
Pages2133-2136
Number of pages4
StatePublished - 2008
Event30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC, Canada
Duration: Aug 20 2008Aug 25 2008

Publication series

NameProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Other

Other30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
CountryCanada
CityVancouver, BC
Period8/20/088/25/08

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

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  • Cite this

    Lu, Y., Jiang, D., Jia, X., Qiu, Y., Zhu, Y., Thakor, N., & Tong, S. (2008). Predict the neurological recovery under hypothermia after cardiac arrest using CO complexity measure of EEG signals. In Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 (pp. 2133-2136). [4649615] (Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology").