Shou-Zen Fan

发表

A critical care monitoring system for depth of anaesthesia analysis based on entropy analysis and physiological information database

Maysam F. Abbod, Qin Wei, Quan Liu, 2014, Australasian Physical & Engineering Sciences in Medicine.

HRV-derived data similarity and distribution index based on ensemble neural network for measuring depth of anaesthesia

Maysam F. Abbod, Li Ma, Quan Liu, 2017, PeerJ.

Sample Entropy Analysis of EEG Signals via Artificial Neural Networks to Model Patients' Consciousness Level Based on Anesthesiologists Experience

Maysam F. Abbod, Hung-Chi Chang, Jiann-Shing Shieh, 2015, BioMed research international.

EEG artifacts reduction by multivariate empirical mode decomposition and multiscale entropy for monitoring depth of anaesthesia during surgery

Maysam F. Abbod, Quan Liu, Jiann-Shing Shieh, 2016, Medical & Biological Engineering & Computing.

Spectrum Analysis of EEG Signals Using CNN to Model Patient’s Consciousness Level Based on Anesthesiologists’ Experience

Maysam F. Abbod, Jiann-Shing Shieh, Longsong Lin, 2019, IEEE Access.

Performance Analysis of Extracted Rule-Base Multivariable Type-2 Self-Organizing Fuzzy Logic Controller Applied to Anesthesia

Jiann-Shing Shieh, Shou-Zen Fan, Yan-Xin Liu, 2014, BioMed research international.

Genetic type-2 self-organising fuzzy logic controller applied to anaesthesia

Faiyaz Doctor, Jiann-Shing Shieh, Shou-Zen Fan, 2015, 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI).

Hierarchical Rule-based Monitoring and Fuzzy Logic Control for Neuromuscular Block

Jiann-Shing Shieh, Liang-Wey Chang, Shou-Zen Fan, 2004, Journal of Clinical Monitoring and Computing.

Monitoring and Control of Anesthesia Using Multivariable Self-Organizing Fuzzy Logic Structure

Maysam F. Abbod, Jiann-Shing Shieh, Sheng-Jean Huang, 2009, Fuzzy Systems in Bioinformatics and Computational Biology.

Analysis of EEG via Multivariate Empirical Mode Decomposition for Depth of Anesthesia Based on Sample Entropy

Qin Wei, Maysam F. Abbod, Quan Liu, 2013, Entropy.

Modelling of bispectral index using artificial neural networks during inhalational anaesthesia

Jiann-Shing Shieh, Shou-Zen Fan, Qi-Feng Chou, 2000 .

The intelligent architecture for simulation of inhalational anaesthesia

Jiann-Shing Shieh, Shou-Zen Fan, Wen-Long Shi, 2004 .

Adaptive Computation of Multiscale Entropy and Its Application in EEG Signals for Monitoring Depth of Anesthesia During Surgery

Qin Wei, Maysam F. Abbod, Quan Liu, 2012, Entropy.

Design and Evaluation of a Real Time Physiological Signals Acquisition System Implemented in Multi-Operating Rooms for Anesthesia

Maysam F. Abbod, Li Ma, Quan Liu, 2018, Journal of Medical Systems.

Comparison of FFT and marginal spectra of EEG using empirical mode decomposition to monitor anesthesia

Yi-Chun Chen, Yean-Ren Hwang, Shou-Zen Fan, 2016, Comput. Methods Programs Biomed..

Intelligent Real Time Data Mining of Depth of Anaesthesia

Quan Liu, Jiann-Shing Shieh, Qin Wei, 2011 .

Using a short-term parameter of heart rate variability to distinguish awake from isoflurane anesthetic states

Yi-Hui Lee, Hsiao-Lung Chan, Chi-Hsiang Huang, 2008, Medical & Biological Engineering & Computing.

Rule extraction by fuzzy modeling algorithm for fuzzy logic control of cisatracurium as a neuromuscular block

Jiann-Shing Shieh, Shou-Zen Fan, Chen-Tse Chuang, 2009, Eng. Appl. Artif. Intell..

A comparison of patients' heart rate variability and blood flow variability during surgery based on the Hilbert-Huang Transform

Qin Wei, Quan Liu, Yu-Jen Chen, 2012, Biomed. Signal Process. Control..

Multivariable Type-2 Self-Organizing Fuzzy Logic Controllers for Regulating Anesthesia with Rule Base Extraction

Faiyaz Doctor, Jiann-Shing Shieh, Shou-Zen Fan, 2013, 2013 Conference on Technologies and Applications of Artificial Intelligence.

Genetic Deep Convolutional Autoencoder Applied for Generative Continuous Arterial Blood Pressure via Photoplethysmography

Jiann-Shing Shieh, Bhekumuzi Mathunjwa, Yin-Tsong Lin, 2020, Sensors.

A comparison of five different algorithms for EEG signal analysis in artifacts rejection for monitoring depth of anesthesia

Maysam F. Abbod, Quan Liu, Jiann-Shing Shieh, 2016, Biomed. Signal Process. Control..

Developing a monitoring psychological stress index system via photoplethysmography

Maysam Abbod, Jiann-Shing Shieh, Shou-Zen Fan, 2011, Artificial Life and Robotics.

Comparison of EEG Approximate Entropy and Complexity Measures of Depth of Anaesthesia During Inhalational General Anaesthesia

Jiann-Shing Shieh, Jia-Rong Yeh, Shou-Zen Fan, 2011 .

Instantaneous 3D EEG Signal Analysis Based on Empirical Mode Decomposition and the Hilbert-Huang Transform Applied to Depth of Anaesthesia

Faiyaz Doctor, Jiann-Shing Shieh, Shou-Zen Fan, 2015, Entropy.

An Adaptive Monitoring Scheme for Automatic Control of Anaesthesia in dynamic surgical environments based on Bispectral Index and Blood Pressure

Faiyaz Doctor, Jiann-Shing Shieh, Yu-Ning Yu, 2018, Journal of Medical Systems.

EEG Signals Analysis Using Multiscale Entropy for Depth of Anesthesia Monitoring during Surgery through Artificial Neural Networks

Maysam F. Abbod, Quan Liu, Jiann-Shing Shieh, 2015, Comput. Math. Methods Medicine.

Electroencephalogram Similarity Analysis Using Temporal and Spectral Dynamics Analysis for Propofol and Desflurane Induced Unconsciousness

Maysam F. Abbod, Li Ma, Quan Liu, 2018, Symmetry.

Application of Multivariate Empirical Mode Decomposition and Sample Entropy in EEG Signals via Artificial Neural Networks for Interpreting Depth of Anesthesia

Maysam F. Abbod, Jiann-Shing Shieh, Shou-Zen Fan, 2013, Entropy.

Deep learning via ECG and PPG signals for prediction of depth of anesthesia

Maysam F. Abbod, Jiann-Shing Shieh, Shou-Zen Fan, 2021, Biomed. Signal Process. Control..

The Intelligent Model of a Patient Using Artificial Neural Networks for Inhalational Anaesthesia

Jiann-Shing Shieh, Shou-Zen Fan, Wen-Long Shi, 2002 .

Investigating Power Density and the Degree of Nonlinearity in Intrinsic Components of Anesthesia EEG by the Hilbert-Huang Transform: An Example Using Ketamine and Alfentanil

Norden E. Huang, Jia-Rong Yeh, Shou-Zen Fan, 2016, PloS one.

Sample entropy analysis for the estimating depth of anaesthesia through human EEG signal at different levels of unconsciousness during surgeries

Maysam F. Abbod, Quan Liu, Jiann-Shing Shieh, 2018, PeerJ.

MUSCLE RELAXATION CONTROLLED BY AUTOMATED ADMINISTRATION OF CISATRACURIUM

Jiann-Shing Shieh, Shou-Zen Fan, Chen-Tse Chuang, 2006 .

Quasi-Periodicities Detection Using Phase-Rectified Signal Averaging in EEG Signals as a Depth of Anesthesia Monitor

Maysam F. Abbod, Jiann-Shing Shieh, Shou-Zen Fan, 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Improved spectrum analysis in EEG for measure of depth of anesthesia based on phase-rectified signal averaging

Jiann-Shing Shieh, Shou-Zen Fan, J. Shieh, 2017, Physiological measurement.

Computational Depth of Anesthesia via Multiple Vital Signs Based on Artificial Neural Networks

Maysam F. Abbod, Jiann-Shing Shieh, Shou-Zen Fan, 2015, BioMed research international.

The Use of Intensive Manual Control to Model Cisatracurium Pharmacokinetics and Pharmacodynamics for Neuromuscular Block

Jiann-Shing Shieh, Shou-Zen Fan, Chen-Tse Chuang, 2006 .

Review: Intelligent Modeling and Control in Anesthesia

Maysam F. Abbod, Jiann-Shing Shieh, Shou-Zen Fan, 2012 .

Multi-timescale phase-amplitude couplings in transitions of anesthetic-induced unconsciousness

Jia-Rong Yeh, Shou-Zen Fan, Feng-Fang Tsai, 2019, Scientific Reports.

Automatic control of anaesthesia using hierarchical structure

Jiann-Shing Shieh, Liang-Wey Chang, Shou-Zen Fan, 1998 .

Human heart beat analysis using a modified algorithm of detrended fluctuation analysis based on empirical mode decomposition.

Jiann-Shing Shieh, Jia-Rong Yeh, Shou-Zen Fan, 2009, Medical engineering & physics.