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Institution Date Title Author
元智大學 Sep-15 EEG Signals Analysis Using Multiscale Entropy for Depth of Anesthesia Monitoring During Surgery through Artificial Neural Networks Quan Liu; Yi-Feng Chen; Shou-Zen Fan; Maysam F. Abbod; J.S. Shieh
元智大學 Sep-15 EEG Signals Analysis Using Multiscale Entropy for Depth of Anesthesia Monitoring During Surgery through Artificial Neural Networks Quan Liu; Yi-Feng Chen; Shou-Zen Fan; Maysam F. Abbod; J.S. Shieh
元智大學 Sep-14 A Critical Care Monitoring System for Depth of Anaesthesia Analysis Based on Entropy Analysis and Physiological Information Database Qin Wei; Yang Li; Shou-Zen Fan; Quan Liu; Maysam F. Abbod; Cheng-Wei Lu; Tzu-Yu Lin; Kuo-Kuang Jen; Shang-Ju Wu; Jiann-Shing Shieh
元智大學 Oct-17 Quasi-Periodicities Detection Using Phase-Rectified Signal Averaging in EEG Signals as a Depth of Anesthesia Monitor Quan Liu; Yi-Feng Chen; Shou-Zen Fan; Maysam F. Abbod; J.S. Shieh
元智大學 Oct-17 Quasi-Periodicities Detection Using Phase-Rectified Signal Averaging in EEG Signals as a Depth of Anesthesia Monitor Quan Liu; Yi-Feng Chen; Shou-Zen Fan; Maysam F. Abbod; J.S. Shieh
元智大學 Nov-17 HRV-derived data similarity and distribution index based on ensemble neural network for measuring depth of anaesthesia Quan Liu; Ren-Chun Chiu; Shou-Zen Fan; Maysam F. Abbod; J.S. Shieh
元智大學 May-19 Spectrum analysis of EEG signals using CNN to model patient’s consciousness level based on anesthesiologists’ experience Quan Liu; JiFa Cai; ShouZen Fan; Maysam F. Abbod; J.S. Shieh; YuChen Kung; Longsong Lin
元智大學 May-18 Sample entropy analysis for the estimating depth of anaesthesia through human EEG signal at different levels of unconsciousness during surgeries Quan Liu; Li Ma; Shou-Zhen Fan; Maysam F. Abbod; J.S. Shieh
元智大學 Mar-16 A Comparison of Five Different Algorithms for EEG Signal Analysis in Artifacts Rejection for Monitoring Depth of Anesthesia Quan Liu; Yi-Feng Chen; Shou-Zhen Fan; J.S. Shieh
元智大學 Mar-16 A Comparison of Five Different Algorithms for EEG Signal Analysis in Artifacts Rejection for Monitoring Depth of Anesthesia Quan Liu; Yi-Feng Chen; Shou-Zhen Fan; J.S. Shieh

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