https://scholars.lib.ntu.edu.tw/handle/123456789/637708
Title: | Comparison of FFT and marginal spectra of EEG using empirical mode decomposition to monitor anesthesia | Authors: | Chen, Shih-Jui Peng, Chia-Ju Chen, Yi-Chun Hwang, Yean-Ren Lai, Ying-Sian SHOU-ZEN FAN Jen, Kuo-Kuang |
Keywords: | Anesthesia; Electroencephalogram; Empirical mode decomposition | Issue Date: | Dec-2016 | Journal Volume: | 137 | Source: | Computer methods and programs in biomedicine | Abstract: | Intraoperative awareness refers that patients can recall aspects of their surgery after being put under general anesthesia. This distressing complication causes affected patients to be conscious and probably feel pain, leading to emotional trauma or other sequelae. Monitoring and administrating the depth of anesthesia is necessary to prevent patients from awareness during a medical operation. In this paper, we analyzed the electroencephalograms (EEGs) of patients to characterize their anesthesia. The data set, "awareness" and "anesthesia" groups, each contained 558 samples, including patients who had undergone different types of surgeries. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/637708 | ISSN: | 01692607 | DOI: | 10.1016/j.cmpb.2016.08.024 |
Appears in Collections: | 醫學系 |
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