S. Fan

发表

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.

Review: Intelligent Modeling and Control in Anesthesia

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

Electroencephalogram variability analysis for monitoring depth of anesthesia

J. Shieh, M. Abbod, S. Fan, 2021, Journal of neural engineering.

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.

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.

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

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

Analyzing heart rate variability using a photoplethysmographic signal measuring system

J. Shieh, M. Abbod, S. Fan, 2016, 2016 12th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA).

Frontal EEG Temporal and Spectral Dynamics Similarity Analysis between Propofol and Desflurane Induced Anesthesia Using Hilbert-Huang Transform

J. Shieh, M. Abbod, Li Ma, 2018, BioMed research international.

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.

Fuzzy logic control of propofol infusion using quantitative and qualitative approaches

Liang-Wey Chang, J. Shieh, S. Fan, 1997 .

Applying Time-Frequency Image of Convolutional Neural Network to Extract Feature on Long-Term EEG Signals to Predict Depth of Anesthesia

Maysam F. Abbod, J.-J. Chen, Yan Huang, 2019 .

Applying CNN Model for time-frequency analysis of EEG to assess the depth of anesthesia based on BIS value

J. Shieh, M. Abbod, S. Fan, 2019 .

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.

Non-Invasive Hemodynamics Monitoring System Based on Electrocardiography via Deep Convolutional Autoencoder

Maysam F. Abbod, Jiann-Shing Shieh, Bhekumuzi Mathunjwa, 2021, Sensors.

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.

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..

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..

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

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

Intelligent Real Time Data Mining of Depth of Anaesthesia

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

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..

Fractal Properties of Heart Rate Dynamics: A New Biomarker for Anesthesia—Biphasic Changes in General Anesthesia and Decrease in Spinal Anesthesia

J. Shieh, J. Yeh, S. Fan, 2022, Sensors.

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.

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.

MUSCLE RELAXATION CONTROLLED BY AUTOMATED ADMINISTRATION OF CISATRACURIUM

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

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 .

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..

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.

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.

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.

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.

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 .

An Optimized Type-2 Self-Organizing Fuzzy Logic Controller Applied in Anesthesia for Propofol Dosing to Regulate BIS

Jiann-Shing Shieh, Faiyaz Doctor, Shou-Zen Fan, 2020, IEEE Transactions on Fuzzy Systems.

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.

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

J. Yeh, S. Fan, F. Tsai, 2019, Scientific Reports.

Developing a monitoring psychological stress index system via photoplethysmography

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

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).

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

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

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.

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.

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.

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

J. Shieh, Y. Li, QUAN LIU, 2014, Australasian Physical & Engineering Sciences in Medicine.

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.

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.

Depth Analysis of Anesthesia Using EEG Signals via Time Series Feature Extraction and Machine Learning

J. Shieh, M. Abbod, S. Fan, 2023, Sci.

Comparison of Deep Learning Algorithms in Predicting Expert Assessments of Pain Scores during Surgical Operations Using Analgesia Nociception Index

J. Shieh, M. Abbod, S. Fan, 2022, Italian National Conference on Sensors.

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.

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.

Deceleration capacity of heart rate variability as a predictor of sedation related hypotension

J. Yeh, Hsiu‐Po Wang, S. Fan, 2021, Scientific Reports.

The intelligent architecture for simulation of inhalational anaesthesia

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

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..

Frontal electroencephalogram analysis with ensemble empirical mode decomposition during the induction of general anesthesia

Xiyuan Hu, Chung-Kang Peng, Feng-Fang Tsai, 2016 .

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.

Nonlinear Analysis of Electroencephalogram Variability as a Measure of the Depth of Anesthesia

J. Shieh, M. Abbod, S. Fan, 2022, IEEE Transactions on Instrumentation and Measurement.