Showing results 1 to 20 of 37
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| 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 |
| 21-May-2021 | Applying deep learning to defect detection in printed circuit boards via a newest model of you-only-look-once | Adibhatla, VA; Chih, H-C; Hsu, C-C; Cheng, J; Abbod, MF; 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 |
| 25-Oct-2017 | Arrhythmia Evaluation in Wearable ECG Devices | Sadrawi, M; Lin, C-H; Lin, Y-T; Hsieh, Y; Kuo, C-C; Chien, J; Haraikawa, K; Abbod, M; Shieh, J-S |
| 4-Jun-2023 | Automatic IHR-based sleep stage detection using features of residual neural network | Mathunjwa, BM; Lin, Y-T; Lin, C-H; Abbod, MF; Sadrawi, M; Shieh, J-S |
| 2016 | Cardiopulmonary resuscitation Ppattern evaluation based on ensemble empirical mode decomposition filter via non-linear approaches | Sadrawi, M; Sun, W-Z; Ma, MH-M; Dia, C-Y; Abbod, M; Shieh, J-S |
| 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 |
| 2018 | Design and Evaluation of a Real Time Physiological Signals Acquisition System Implemented in Multi-Operating Rooms for Anesthesia | Liu, Q; Ma, L; Fan, SZ; Abbod, M; Lu, C-W; Jen, K-K; Wu, S-J; Shieh, J-S |
| 2020 | Development of an E-nose System using Machine Learning Methods to Predict Ventilator-Associated Pneumonia | Liao, Y-H; Shih, C-H; Abbod, M; Shieh, J-S; Hsiao, Y-J |
| 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 |
| 2018 | Ensemble Genetic Fuzzy Neuro Model Applied for The Emergency Medical Service via Unbalanced Data Evaluation | Sadwari, M; Sun, W-Z; Ma, M; Yeh, Y; Abbod, M; Shieh, J-S |
| 14-Jun-2020 | Explainable AI (XAI) Applied in Machine Learning for Pain Modeling: A Review | Madanu, R; Abbod, MF; Hsiao, F-J; Chen, W-T; Shieh, J-S |
| 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 |
