Shou-Zen Fan
Orcid: 0000-0002-6849-8453
According to our database1,
Shou-Zen Fan
authored at least 27 papers
between 2008 and 2023.
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Bibliography
2023
Pain scores estimation using surgical pleth index and long short-term memory neural networks.
Artif. Life Robotics, August, 2023
2022
Nonlinear Analysis of Electroencephalogram Variability as a Measure of the Depth of Anesthesia.
IEEE Trans. Instrum. Meas., 2022
Fractal Properties of Heart Rate Dynamics: A New Biomarker for Anesthesia - Biphasic Changes in General Anesthesia and Decrease in Spinal Anesthesia.
Sensors, 2022
Comparison of Deep Learning Algorithms in Predicting Expert Assessments of Pain Scores during Surgical Operations Using Analgesia Nociception Index.
Sensors, 2022
2021
Non-Invasive Hemodynamics Monitoring System Based on Electrocardiography via Deep Convolutional Autoencoder.
Sensors, 2021
Biomed. Signal Process. Control., 2021
2020
An Optimized Type-2 Self-Organizing Fuzzy Logic Controller Applied in Anesthesia for Propofol Dosing to Regulate BIS.
IEEE Trans. Fuzzy Syst., 2020
Genetic Deep Convolutional Autoencoder Applied for Generative Continuous Arterial Blood Pressure via Photoplethysmography.
Sensors, 2020
2019
Spectrum Analysis of EEG Signals Using CNN to Model Patient's Consciousness Level Based on Anesthesiologists' Experience.
IEEE Access, 2019
2018
Electroencephalogram Similarity Analysis Using Temporal and Spectral Dynamics Analysis for Propofol and Desflurane Induced Unconsciousness.
Symmetry, 2018
An Adaptive Monitoring Scheme for Automatic Control of Anaesthesia in dynamic surgical environments based on Bispectral Index and Blood Pressure.
J. Medical Syst., 2018
Design and Evaluation of a Real Time Physiological Signals Acquisition System Implemented in Multi-Operating Rooms for Anesthesia.
J. Medical Syst., 2018
2017
EEG artifacts reduction by multivariate empirical mode decomposition and multiscale entropy for monitoring depth of anaesthesia during surgery.
Medical Biol. Eng. Comput., 2017
2016
Comparison of FFT and marginal spectra of EEG using empirical mode decomposition to monitor anesthesia.
Comput. Methods Programs Biomed., 2016
A comparison of five different algorithms for EEG signal analysis in artifacts rejection for monitoring depth of anesthesia.
Biomed. Signal Process. Control., 2016
2015
Instantaneous 3D EEG Signal Analysis Based on Empirical Mode Decomposition and the Hilbert-Huang Transform Applied to Depth of Anaesthesia.
Entropy, 2015
EEG Signals Analysis Using Multiscale Entropy for Depth of Anesthesia Monitoring during Surgery through Artificial Neural Networks.
Comput. Math. Methods Medicine, 2015
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2015
2013
Analysis of EEG via Multivariate Empirical Mode Decomposition for Depth of Anesthesia Based on Sample Entropy.
Entropy, 2013
Application of Multivariate Empirical Mode Decomposition and Sample Entropy in EEG Signals via Artificial Neural Networks for Interpreting Depth of Anesthesia.
Entropy, 2013
Multivariable Type-2 Self-Organizing Fuzzy Logic Controllers for Regulating Anesthesia with Rule Base Extraction.
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2013
2012
Adaptive Computation of Multiscale Entropy and Its Application in EEG Signals for Monitoring Depth of Anesthesia During Surgery.
Entropy, 2012
A comparison of patients' heart rate variability and blood flow variability during surgery based on the Hilbert-Huang Transform.
Biomed. Signal Process. Control., 2012
2011
Artif. Life Robotics, 2011
2009
Monitoring and Control of Anesthesia Using Multivariable Self-Organizing Fuzzy Logic Structure.
Proceedings of the Fuzzy Systems in Bioinformatics and Computational Biology, 2009
Rule extraction by fuzzy modeling algorithm for fuzzy logic control of cisatracurium as a neuromuscular block.
Eng. Appl. Artif. Intell., 2009
2008
Using a short-term parameter of heart rate variability to distinguish awake from isoflurane anesthetic states.
Medical Biol. Eng. Comput., 2008