| Issue Date | Title | Author(s) |
| 2016 | Analyzing Heart Rate Variability Using a Photoplethysmographic Signal Measuring System | Chen, Y-F; Shieh, J-S; Fan, S-Z; Chiang, W-T; Abbod, MF; Liu, Q |
| 2020 | Applying CLDNN to Time-Frequency Image of EEG Signals to Predict Depth of Anesthesia | Chen, Y-L; Fan, S-Z; Abbod, M; Shieh, J-S |
| 3-Jul-2019 | Applying Time-Frequency Image of Convolutional Neural Network to Extract Feature on Long-Term EEG Signals to Predict Depth of Anesthesia | Huang, Y; Chen, J; Abbod, M; Fan, S-Z; Shieh, J-S; Kung, Y-C |
| 23-Jul-2022 | Comparison of Deep Learning Algorithms in Predicting Expert Assessments of Pain Scores during Surgical Operations Using Analgesia Nociception Index | Jean, W-H; Sutikno, P; Fan, S-Z; Abbod, MF; Shieh, J-S |
| 2014 | A critical care monitoring system for depth of anaesthesia analysis based on entropy analysis and physiological information database | Wei, Q; Li, Y; Fan, S-Z; Liu, Q; Abbod, MF; Lu, C-W; Lin, T-Y; Jen, K-K; Wu, S-J; Shieh, J-S |
| 5-May-2023 | Depth Analysis of Anesthesia Using EEG Signals via Time Series Feature Extraction and Machine Learning | Anand, RV; Abbod, MF; Fan, S-Z; Shieh, J-S |
| 7-Jun-2021 | Depth of anesthesia prediction via EEG signals using convolutional neural network and ensemble empirical mode decomposition | Madanu, R; Rahman, F; Abbod, MF; Fan, S-Z; Shieh, J-S |
| 2016 | EEG artifacts reduction by multivariate empirical mode decomposition and multiscale entropy for monitoring depth of anaesthesia during surgery | Liu, Q; Chen, Y-F; Fan, S-Z; Abbod, MF; Shieh, J-S |
| 2017 | Electroencephalogram Similarity Analysis using Temporal and Spectral Dynamics Analysis for Propofol and Desflurane Induced Unconsciousness | Liu, Q; Ma, L; Fan, S-Z; Abbod, M; Shieh, J-S |
| 17-Nov-2021 | Electroencephalogram variability analysis for monitoring depth of anesthesia | Chen, Y-F; Chen, Y-F; Fan, S-Z; Abbod, MF; Shieh, J-S; Zhang, M |
| 15-Jul-2018 | Frontal EEG Temporal and Spectral Dynamics Similarity Analysis between Propofol and Desflurane Induced Anesthesia using Hilbert-Huang Transform | Liu, Q; Ma, L; Fan, S-Z; Abbod, M; Ai, Q; Chen, K; Shieh, J-S |
| 9-Jul-2020 | Genetic Deep Convolutional Autoencoder Applied for Generative Continuous Arterial Blood Pressure via Photoplethysmography | Sadrawi, M; Lin, Y-T; Lin, C-H; Mathunjwa, B; Fan, S-Z; Abbod, MF; Shieh, J-S |
| 2020 | Genetic Deep Convolutional Autoencoder Applied for Generative Continuous Arterial Blood Pressure via Photoplethysmography | Sadrawi, M; Lin, Y-T; Lin, C-H; Mathunjwa, B; Fan, S-Z; Abbod, M; Shieh, J-S |
| 9-Jul-2020 | Genetic Deep Convolutional Autoencoder Applied for Generative Continuous Arterial Blood Pressure via Photoplethysmography. | Sadrawi, M; Lin, Y-T; Lin, C-H; Mathunjwa, B; Fan, S-Z; Abbod, MF; Shieh, J-S |
| 2016 | Improved spectrum analysis in EEG for measure of depth of anesthesia based on phase-rectified signal averaging | Quan, L; Chen, Y-F; Fan, S-Z; Abbod, M; Shieh, J-S |
| 24-Jun-2023 | Pain scores estimation using surgical pleth index and long short-term memory neural networks | Abdel Deen, OMT; Jean, W-H; Fan, S-Z; Abbod, MF; Shieh, J-S |
| 3-Apr-2017 | Quasi-Periodicities Detection Using Phase-Rectified Signal Averaging in EEG Signals as a Depth of Anesthesia Monitor | Liu, Q; Chen, Y-F; Fan, S-Z; Abbod, M; Sheih, J-S |
| 2019 | Spectrum analysis of EEG signals using CNN to model patient’s consciousness level based on anesthesiologists’ experience | Liu, Q; Cai, J; Fan, S-Z; Abbod, MF; Shieh, J-S; Kung, Y; Lin, L |
