کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4958299 1445243 2016 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Comparison of FFT and marginal spectra of EEG using empirical mode decomposition to monitor anesthesia
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
Comparison of FFT and marginal spectra of EEG using empirical mode decomposition to monitor anesthesia
چکیده انگلیسی
This paper proposes a method for identifying whether patients' state of consciousness during a range of surgery types is “under anesthesia” or “aware.” Our method involves using EEG to characterize the depth of anesthesia through two frequency analysis techniques. On the basis of our analyses, we conclude that the performance of IMF1 is satisfactory in distinguishing between patients' states of consciousness during surgery requiring general anesthesia.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Methods and Programs in Biomedicine - Volume 137, December 2016, Pages 77-85
نویسندگان
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